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All Journal BAHASA DAN SASTRA Jurnal Ushuluddin InfoTekJar : Jurnal Nasional Informatika dan Teknologi Jaringan METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) JOURNAL OF SCIENCE AND SOCIAL RESEARCH Jambura Journal of Electrical and Electronics Engineering Indo-MathEdu Intellectuals Journal Jurnal Minfo Polgan (JMP) Economic Reviews Journal Jurnal Hasil Pengabdian Masyarakat (JURIBMAS) Jurnal Sosial dan Sains Innovative: Journal Of Social Science Research Indonesian Journal of Sport Science and Coaching ManBiz: Journal of Management and Business Proceedings of The International Conference on Computer Science, Engineering, Social Sciences, and Multidisciplinary Studies
Herdianto Herdianto, Herdianto
Jurusan Tenik Mesin, Politeknik Negeri Ujung Pandang Jalan Perintis Kemerdekaan Km. 10 Tamalanrea, Makassar 90245
Religion Humanities Astronomy Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Physics Public Health Social Sciences Other

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Implementasi Metode Yolo pada Deteksi Objek Manusia Herdianto, Herdianto; Hafni, Hafni; Nasution, Darmeli; Ramadhan, Syahrul
METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Vol. 8 No. 2 (2024): METHOMIKA: Jurnal Manajemen Informatika & Komputersisasi Akuntansi
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/jmika.Vol8No2.pp234-240

Abstract

Until now, the problem of theft of motorbikes and livestock in North Sumatra is still quite high.  Locations for motorbike theft can occur in many places such as schools, homes, parking lots, offices and so on, while for livestock it can occur on pastures and in pens during the day or night and the perpetrators are men. To make this theft a success, various modes are used in varying human positions, from sitting, squatting to standing. To help overcome this, several object detection methods have been developed such as Background Subtraction, Template Matching, Histogram Oriented Gradient (HOG), Deformable Part-based Model (DPM) and Viola Jones (VJ).   Of the many methods that have been used, there are still shortcomings, namely in terms of time, accuracy and various human positions.  For this reason, research was carried out with the aim of improving the time and level of accuracy in detecting human objects using the YOLO method. The research stages carried out in this research include literature study, collecting data, determining training and test data, creating programs, training, and testing. From the trials carried out, it is known that YOLO can detect humans in various positions with a mAP value of 0.99 and an average detection time of 810.01 ms.
Meningkatkan Kinerja Output ChatGPT Melalui Teknik Prompt Engineering Yang Dapat Dikustomisasi Dermawan, Raja Diky; Herdianto, Herdianto
Innovative: Journal Of Social Science Research Vol. 4 No. 1 (2024): Innovative: Journal Of Social Science Research
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/innovative.v4i1.9067

Abstract

Artikel ini bertujuan untuk memberikan penyelidikan dan pemahaman menyeluruh mengenai tantangan dan prospek yang terkait dengan Prompt Engineering pada kecerdasan buatan (AI).. Penelitian ini dibuat Berdasarkan kajian mendalam dan luas terhadap tinjauan literatur review dan para ahli mengenai subjek ini, yang mempertimbangkan sumber berita terpercaya dari situs internet. Artikel ini menekankan konsep bagaimana dalam memanfaatkan kecerdasan buatan yang efektif. Kami menyediakan teknik promting yang spesifik. Prompt engineering AI telah memainkan peran yang semakin penting dalam berbagai bidang, termasuk bisnis, seni, ilmu pengetahuan, dan kesehatan, berkat kemampuannya untuk menghasilkan interaksi yang terarah dan bermakna dengan Large Language Models (LLMs). Meskipun begitu ada tantangan yang perlu diatasi, termasuk masalah kecenderungan LLMs untuk meniru dan mereproduksi teks yang sudah ada tanpa pemahaman mendalam terhadap kontennya yang dapat mengakibatkan output informasi yang salah atau menyesatkan. Diperlihatkan juga bagaimana Prompt (perintah) yang efektif dapat secara signifikan meningkatkan kinerja large language models (LLMs), memberikan hasil yang lebih akurat dan relevan dengan konteks. Temuan kami memberikan wawasan berharga bagi praktisi kecerdasan buatan, peneliti, pendidik, dan organisasi yang mengintegrasikan kecerdasan buatan ke dalam operasional mereka. Selain itu, kami memberikan pedoman yang jelas dan dapat diimplementasikan untuk "teknik promting" di ChatGPT. Nilai dari studi ini juga terletak pada eksplorasi dan penjelasan menyeluruh terhadap prompt engineering pada kecerdasan buatan sebagai kompetensi digital (Digital Competence).Kata Kunci : Kecerdasan Buatan, ChatGPT, Prompt Engineering
Hukum Bisnis dalam Pengembangan UMKM di Indonesia Kepastian Hukum, Tantangan, dan Solusi Herdianto, Herdianto; Satory, Agus
Jurnal sosial dan sains Vol. 5 No. 10 (2025): Jurnal Sosial dan Sains
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/jurnalsosains.v5i10.32549

Abstract

Usaha Mikro, Kecil, dan Menengah (UMKM) memiliki peran vital dalam perekonomian Indonesia dengan kontribusi signifikan terhadap PDB, penciptaan lapangan kerja, dan pemerataan ekonomi. Namun, sektor ini masih menghadapi berbagai hambatan, khususnya dalam aspek hukum bisnis. Regulasi yang kompleks, rendahnya literasi hukum, lemahnya perlindungan hak kekayaan intelektual, serta keterbatasan akses perizinan dan pembiayaan membuat UMKM rentan terhadap praktik bisnis yang merugikan. Penelitian ini mengkaji keterkaitan hukum bisnis dengan keberlangsungan UMKM melalui pendekatan normatif dan studi literatur, dengan menelaah peraturan perundang-undangan seperti UU No. 20 Tahun 2008 tentang UMKM, UU Cipta Kerja, UU ITE, serta regulasi perlindungan konsumen dan kekayaan intelektual. Penelitian ini menggunakan pendekatan kualitatif dengan metode penelitian hukum normatif (normative juridical research). Pendekatan ini dipilih karena fokus penelitian adalah menelaah norma, asas, dan peraturan hukum yang berlaku terkait dengan pengembangan dan perlindungan hukum terhadap Usaha Mikro, Kecil, dan Menengah (UMKM) di Indonesia. Jenis penelitian ini adalah deskriptif-analitis. Hasil kajian menunjukkan bahwa permasalahan utama UMKM mencakup dominasi perjanjian lisan tanpa kontrak tertulis, ketidakpatuhan pada regulasi ketenagakerjaan, sengketa merek dagang, serta kerentanan terhadap pinjaman online ilegal. Studi kasus menegaskan bahwa kelemahan dalam aspek hukum dapat menghambat pertumbuhan bahkan mengancam kelangsungan usaha. Penelitian ini merekomendasikan peningkatan literasi hukum, penyederhanaan perizinan berbasis digital, penguatan perlindungan hak kekayaan intelektual, dorongan penggunaan kontrak tertulis, serta optimalisasi akses pembiayaan legal. Penyelesaian sengketa non-litigasi melalui mediasi atau arbitrase juga perlu diperkuat. Dengan sinergi antara pemerintah, akademisi, lembaga keuangan, dan pelaku usaha, hukum bisnis dapat berfungsi bukan sebagai beban, melainkan instrumen strategis untuk memperkuat daya saing UMKM di era globalisasi dan digitalisasi
Pengembangan Model Pembelajaran Renang Melalui Materi Pengenalan Aktivitas Air Di Sekolah Dasar : (The Development of a Swimming Learning Model Through The Introduction of Water Activities in Primary School) Herdianto, Herdianto; Iyakrus, Iyakrus; Usra, Meirizal
Jurnal Ilmu Olahraga dan Kepelatihan Indonesia Vol 2 No 3 (2020): Indonesian Journal of Sport Science and Coaching
Publisher : Jurusan Pendidikan Olah Raga dan Kepelatihan FKIP Universitas Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22437/ijssc.v2i3.10517

Abstract

This study aims to develop a swimming learning model through the introduction of water activities in elementary schools. The learning model is in accordance with the psychomotor characteristics of students and helps students in learning the introduction of water activities. The method used in this research is the method of development. The subjects in this study were 56 students of grade II SD Banding Agung. This development research uses the ADDIE development model consisting of the stages of Analysis, Design, Development, Implementation and Evaluation. Data collection techniques in this study include validation sheets, questionnaires, and tests of basic water activity abilities. Expert testing is carried out by material experts and psychomotor experts. The results of the validation of the resulting learning model meet the validation requirements according to the student's psychomotor stages and learning objectives. The one to one test stage obtained the results of the questionnaire all the sample students agreed that mode. In the small group test, the average gainscore result was 0.75 and was included in the high category and the results of the student motivation questionnaire were 92.5%. At the implementation stage of the learning model, the learning results obtained from a gainscore of 0.78 are in the high category and 82.975% agree that the model used is fun and provides motivation to dare to play in the water. The implication of this research is that the development of a swimming learning model through the introduction of water activities is valid, effective and practical and can be used by physical education teachers in elementary schools. Abstrak. Penelitian ini bertujuan untuk mengembangkan model pembelajaran renang melalui materi pengenalan aktivitas air di sekolah dasar. Model pembelajaran tersebut sesuai dengan karakteristik psikomotorik siswa serta membantu siswa dalam pembelajaran pengenalan aktivitas air. Metode yang digunakan dalam penelitian ini adalah metode pengembangan. Subjek dalam penelitian ini adalah siswa kelas II SD banding Agung sebanyak  56 orang siswa. Penelitian pengembangan ini menggunakan model pengembangan  ADDIE terdiri atas tahapan Analysis, Design, Development, Implementation dan Evaluation Teknik pengumpulan data dalam penelitian ini yaitu meliputi lembar validasi, angket, dan tes kemampuan dasar aktivitas air. Uji ahli dilakukan oleh ahli materi dan ahli psikomotorik. Hasil validasi model pembelajaran yang dihasilkan memenuhi syarat validasi sesuai dengan tahapan psikomotorik siswa dan tujuan pembelajaran. Tahap uji one to one didapatkan hasil angket semua siswa sample setuju bahwa mode. Pada tes small group didapatkan rata-rata hasil gainscore 0,75 dan masuk dalam kategori tinggi dan hasil angket motivasi siswa didapatkan 92,5%. Pada tahap implementasi model pembelajaran didapatkan hasil gainscore 0,78 termasuk kategori tinggi dan 82,975% setuju kalau model yang digunakan menyenangkan dan memberikan motivasi untuk berani bermain di air. Implikasi dari penelitian ini bahwa pengembangan model pembelajaran renang melalui materi pengenalan aktivitas air ini valid, efektif dan praktis serta dapat digunakan bagi guru penjas di sekolah dasar .
Penggunaan Strategi Pembelajaran Berbasis Literasi Kritis untuk Meningkatkan Kapasitas Berpikir Reflektif Pada Peserta Didik di SMA Herdianto, Herdianto
Indo-MathEdu Intellectuals Journal Vol. 6 No. 7 (2025): Indo-MathEdu Intellectuals Journal
Publisher : Lembaga Intelektual Muda (LIM) Maluku

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54373/imeij.v6i7.4557

Abstract

This study examines the implementation of a learning strategy based on critical literacy as an effort to enhance students' reflective thinking skills at SMA Negeri 1 Junjung Sirih. The main issue addressed is the low ability of students to perform reflection, analysis, and understanding of learning material. The purpose of this study is to evaluate how the critical literacy strategy is applied in the learning process and to assess its effects on the development of students' reflective thinking abilities. This study employs a qualitative descriptive approach. The research subjects include teachers who implement the critical literacy strategy and students. Data collection was carried out through participatory observation and semi-structured interviews. The data analysis was conducted qualitatively through the stages of data reduction, data presentation, and conclusion drawing. The research results indicate that a literacy-based learning strategy is effective in increasing student engagement, encouraging deeper information analysis, and stimulating their ability to reflect, express opinions, and evaluate ideas. Although there are some obstacles, such as differences in students' initial literacy skills and limited learning time, overall this strategy has a significant positive impact on strengthening reflective thinking capacity among students.
Challenging Western Dominance: Islamic Intellectual Paradigms of Education in al-Ghazali, Ibn Qayyim, and al-Zarnuji Charles, Charles; Hayat, Ade Putra; Artika, Febria Sri; Herdianto, Herdianto
Jurnal Ushuluddin Vol 33, No 2 (2025): December
Publisher : Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/jush.v33i2.38275

Abstract

Modern educational systems frequently emphasize cognitive outcomes, often at the expense of moral and spiritual development, resulting in graduates who may be academically adept yet ethically or spiritually unfulfilled. This study aims to reconstruct a holistic educational paradigm inspired by the pedagogical philosophies of three Islamic intellectuals—Al-Ghazali, Ibn Qayyim Al-Jauziyah, and Az-Zarnuji—by examining their conceptualizations of purposive learning, moral cultivation, and the role of the educator. Using a qualitative literature review method, the research analyzes primary classical texts and compares their holistic framework with Western holistic educational traditions such as Waldorf and the Humboldtian model. The findings reveal a tripartite pedagogical structure: spiritual purification (tazkiyat al-nafs), ethical integrity as a safeguard against intellectual hubris, and etiquette-infused teacher–student dynamics. These elements, when synthesized with Western models that prioritize creativity, individuality, and interdisciplinary growth, offer a robust paradigm for integrated human development. Ultimately, this framework proposes an education reoriented toward cognitive, ethical, and spiritual wholeness
Detecting Monkey Pests Using Convolutional Neural Networks Herdianto, Herdianto
Proceedings of The International Conference on Computer Science, Engineering, Social Science, and Multi-Disciplinary Studies Vol. 1 (2025)
Publisher : CV Raskha Media Group

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64803/cessmuds.v1.15

Abstract

Coffee is one of the agricultural products that has a fairly high value, making it one of the export commodities. Ironically, however, the amount of exports from 2021 to 2024 has continued to decline, partly due to monkey infestations. Efforts to prevent monkey attacks have been made by designing monkey detection based on PIR-HC-SR04 sensors, ultrasonic sensors, and combined with a microcontroller as a controller, but the results have not been able to distinguish between monkeys, cows, and humans passing through the plantation area. For this reason, the use of cameras will be tried as a means of sensing the plantation area and replacing the use of old sensors. Therefore, the purpose of this study is to optimize the detection of monkey pests based on digital images. To achieve this research objective, the convolution neural network (CNN) method is used. In order to obtain maximum results, the CNN will be trained beforehand so that it can correctly distinguish between monkeys, cows, humans, and so on. The results obtained are not yet optimal due to the occurrence of monkey pest attacks.
The Influence of Digital Service Quality and Customer Experience on User Satisfaction and Loyalty of Shopee in Indonesia Using SEM–PLS Dinar Fasya, Diva; Herdianto, Herdianto; Ahtisya, Syauqi; Heikal, Jerry
Economic Reviews Journal Vol. 4 No. 4 (2025): Economic Reviews Journal
Publisher : Masyarakat Ekonomi Syariah Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56709/mrj.v5i1.983

Abstract

This study aims to analyze the influence of digital service quality and customer experience on user satisfaction and loyalty among Shopee users in Indonesia using the Structural Equation Modeling–Partial Least Squares (SEM–PLS) approach. Digital transformation has reshaped consumer behavior, positioning service quality and customer experience as key success factors in e-commerce. Data were collected through an online survey using a Likert scale from active Shopee users. The results indicate that customer experience has the most dominant influence on satisfaction, while digital service quality acts as a fundamental factor shaping users’ positive perceptions of the platform. Customer satisfaction is proven to be a significant mediating variable linking service quality and customer loyalty. Users who experience positive and consistent interactions tend to be more satisfied and demonstrate stronger long-term loyalty to Shopee. These findings highlight the importance of enhancing digital experiences that are both engaging and personalized to sustain customer loyalty in an increasingly competitive e-commerce environment.
Analyzing the Influence of Promotion on Consumer Purchase Decisions Using a Binary Logistic Regression Model in Car Salon Services Ahtisya, Syauqi; Herdianto, Herdianto; Fasya, Diva Dinar; Heikal, Jerry
Economic Reviews Journal Vol. 4 No. 4 (2025): Economic Reviews Journal
Publisher : Masyarakat Ekonomi Syariah Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56709/mrj.v5i1.984

Abstract

This study aims to analyze the influence of promotion on consumer purchasing decisions for car salon services using the binary logistic regression model. Promotion plays a crucial role in marketing strategy, particularly in service industries, as it helps build awareness and stimulates consumer decisions. Data were collected from 150 respondents who had been exposed to promotional activities conducted by car salon businesses. The independent variables examined in this research include promotion, price, brand switching, and prior experience, while the dependent variable is the consumer’s purchase decision. The data were analyzed using the binary logistic regression method with IBM SPSS 25 software. The results show that promotion and customer experience have a positive and significant effect on purchasing decisions, whereas price and brand switching have a significant negative effect. The final model achieved a classification accuracy of 74,0%, indicating that the selected variables can effectively explain consumer decision-making behavior. These findings highlight that effective promotional strategies and positive customer experiences significantly increase the likelihood of purchase, while high price perceptions and brand-switching tendencies reduce it. This study provides managerial implications for car salon service providers to enhance promotional effectiveness and improve customer satisfaction to foster long-term loyalty.
The Influence of Population Size on the Computational Time of Genetic Algorithms in Course Scheduling Salman, Rudi; Sinuraya, Arwadi; Irfandi, Irfandi; Eswanto, Eswanto; Rahman, Sayuti; Herdianto, Herdianto; Hutajulu, Olnes Yosefa; Halawa, Agung Y S
Jambura Journal of Electrical and Electronics Engineering Vol 8, No 1 (2026): Januari - Juni 2026
Publisher : Electrical Engineering Department Faculty of Engineering State University of Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/jjeee.v8i1.33508

Abstract

Course scheduling is a complex problem in higher education because it must satisfy multiple constraints involving courses, instructors, rooms, and time slots. This study examines the impact of population size variation on the computational efficiency of a Genetic Algorithm (GA) applied to a medium-scale instance consisting of 35 courses, 15 instructors, 12 rooms, and 20 time slots. Simulations were conducted in MATLAB using population sizes ranging from 20 to 1000, while all other GA parameters were held constant to isolate the effect of population size. Solution quality was evaluated using a conflict-based fitness function, and all configurations yielded valid timetables with zero hard-constraint violations. Experimental results reveal a consistent non-linear relationship between population size and computation time. Statistical findings in Table 1—including mean values, standard deviations, and 95% confidence intervals—show that both very small and very large populations produce higher and more variable execution times. In contrast, population sizes of 300–400 achieve the lowest and most stable computation times, indicated by the smallest mean values and narrow confidence intervals. For the instance and configuration used in this study, this range serves as an effective starting point for population size tuning. Overall, the findings highlight the importance of empirical parameter selection to balance computational efficiency and solution quality in academic timetabling systems.
Co-Authors Agus Satory Ahtisya, Syauqi Amalia, Dinda Aminuddin Indra Permana Artika, Febria Sri Arwadi Sinuraya Atmaja, Niko Surya Bilqis, Yumna Tamimah Charles Charles Chatarina Umbul Wahyuni Darmeli Nasution Dermawan, Raja Diky Dinar Fasya, Diva Eswanto, Eswanto Fasya, Diva Dinar Hafni Hafni Halawa, Agung Y S Hayat, Ade Putra Heikal, Jerry Hutajulu, Olnes Yosefa Irfandi Irfandi, Irfandi Iyakrus Meirizal Usra, Meirizal Nuranisah Nuranisah Rahman, Sayuti Rudi Salman Rukmana, Ovalia Sebayang, Ayu Nuriana Sihombing, Monica R Syahrul R, Syahrul