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All Journal International Journal of Electrical and Computer Engineering IJCCS (Indonesian Journal of Computing and Cybernetics Systems) JURNAL DESTINASI PARIWISATA JOIV : International Journal on Informatics Visualization Konvergensi : Jurnal Ilmiah Ilmu Komunikasi JURNAL MEDIA INFORMATIKA BUDIDARMA Jurnal Ulul Albab ILKOM Jurnal Ilmiah JURNAL PENDIDIKAN TAMBUSAI JURNAL TEKNOLOGI DAN ILMU KOMPUTER PRIMA (JUTIKOMP) Journal of Humanities and Social Studies AL-ULUM: JURNAL SAINS DAN TEKNOLOGI Jurnal Teknologi Terpadu Jurnal Review Pendidikan dan Pengajaran (JRPP) Pantun: Jurnal Ilmiah Seni Budaya Jurnal Informasi dan Teknologi Journal of Applied Engineering and Technological Science (JAETS) Jurnal Sosial Humaniora Sigli Jurnal Scientia Journal of System and Computer Engineering Gunahumas Jurnal Ilmiah Wahana Pendidikan Jurnal Informatika Terpadu Indonesian Journal of Intellectual Publication (IJI Publication) Edu Cendikia: Jurnal Ilmiah Kependidikan Global Abdimas: Jurnal Pengabdian Masyarakat Sci-Tech Journal Jurnal Ilmiah Teknik Informatika dan Komunikasi Sentra Dedikasi: Jurnal Pengabdian Masyarakat Journal Pharmacy and Application of Computer Sciences Jurnal Informatika: Jurnal Pengembangan IT Jurnal Kajian Pendidikan dan Psikologi Journal of Innovative and Creativity Toplama Jurnal Pembelajaran Bahasa dan Sastra Advances in Computer System Innovation Journal (ACSI Journal) PESHUM Indonesian Journal of Intellectual Publication (IJI Publication)
Firman Aziz
Universitas Pancasakti Makassar
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Mathematics Medicine & Pharmacology Public Health Social Sciences Transportation Other

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Konten Publikasi Film: Impresi Remaja terhadap Film Indonesia Hilyah, Finan Azka Nuzilla; Hufad, Achmad; Aziz, Firman
Gunahumas Vol 7, No 1 (2024): Gunahumas
Publisher : Universitas Pendidikan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17509/ghm.v7i1.72702

Abstract

Generasi muda Indonesia terutama usia remaja lebih suka menonton film daripada membaca buku. Selain itu, golongan usia tersebut merupakan usia yang mendominasi penonton film di bioskop. Namun mereka lebih tertarik untuk menonton film-film Internasional. Sehingga dibutuhkan adanya publikasi film-film Indonesia melalui media yang banyak diakses oleh remaja Indonesia. Harapannya konten publikasi di media sosial Instagram dapat mempengaruhi minat remaja menonton film Indonesia di bioskop. Sehingga tujuan dari penelitian ini adalah untuk menganalisis pengaruh konten publikasi film Indonesia yang dibuat oleh akun Instagram @potonganfilm terhadap minat pengikut usia remaja untuk menonton film di bioskop. Penelitian ini menggunakan metode korelasional dengan pendekatan kuantitatif. Populasi pada penelitian ini berjumlah 1.306.458 orang. Adapun teknik sampel dalam penelitian ini ialah purposive sampling dengan total sampel 270 responden remaja pengikut akun Instagram @potonganfilm. Hasil penelitian menunjukkan besar regresi yang mempengaruhi minat menonton film di bioskop adalah 60,9% sementara 39,1% lainnya dipengaruhi oleh faktor lain yang tidak diteliti dalam penelitian ini. Simpulan penelitian ini adalah terdapat pengaruh yang kuat baik secara parsial maupun simultan antara konten publikasi film Indonesia di Instagram @potonganfilm terhadap minat remaja menonton film di bioskop.Kata Kunci: Konten Publikasi, Film Indonesia, Remaja Pengguna Instagram, Minat Menonton Film, Teori Stimulus-Organism-Response (S-O-R).
Ensemble Techniques Based Risk Classification for Maternal Health During Pregnancy Mustamin, Nurul Fathanah; Buang, Ariyani; Aziz, Firman; Nur, Nur Hamdani
ILKOM Jurnal Ilmiah Vol 16, No 2 (2024)
Publisher : Prodi Teknik Informatika FIK Universitas Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33096/ilkom.v16i2.2005.190-197

Abstract

This research focuses on the critical aspect of maternal health during pregnancy, emphasizing the need for early detection and intervention to address potential risks to both mothers and infants. Leveraging various classification methods, including Naïve Bayes, decision trees, and ensemble learning techniques, the study investigates the prediction of childbirth potential and pregnancy risks. The research begins with data collection, followed by preprocessing to clean and prepare the data, including handling missing values and normalization. Next, cross-validation is performed to ensure model robustness. Five ensemble techniques are used for risk classification: Ensemble Boosted Trees, which enhances the performance of decision trees; Ensemble Bagged Trees, which combines predictions from decision trees trained on different subsets of data; Ensemble Subspace Discriminant, which applies discriminant analysis on random subspaces; Ensemble Subspace KNN, which uses K-Nearest Neighbors (KNN) within random subspaces; and Ensemble RUS Boosted Trees. Key variables such as maternal age, height, Hb levels, blood pressure, and previous pregnancy history are considered in these analyses. Additionally, the study introduces Ensemble Learning based on Classification Trees, revealing significant improvements in accuracy compared to cost-sensitive learning approaches. The comparison of methods, including Naïve Bayes and K-Nearest Neighbor, provides insights into their respective performances, with ensemble techniques demonstrating their potential. The proposed ensemble learning techniques, namely Ensemble Boosted Trees, Ensemble Bagging Trees, Ensemble Subspace Discriminant, Ensemble Subspace KNN, and Ensemble RUS Boosted Trees, are systematically evaluated in classifying pregnancy risks based on a comprehensive dataset of 1014 records. The results showcase Ensemble Bagging Trees as a standout performer, with an accuracy of 85.6%, indicating robust generalization and effectiveness in clinical risk assessment compared to traditional methods such as Decision Tree (61.54% accuracy), K-Nearest Neighbor (74.48%), Ensemble Learning based on Cost-Sensitive Learning (73%), Ensemble Learning based on Classification Tree (76%), Gaussian Naïve Bayes (82.6%), Multinomial Naïve Bayes (84.8%), and Bernoulli Naïve Bayes (84.8%). Ensemble Bagging Trees achieved the highest accuracy proving to be more effective than the other methods. However, the study emphasizes the need for continuous refinement and adaptation of ensemble methods, considering both accuracy and interpretability, for successful deployment in healthcare decision-making. These findings contribute valuable insights into optimizing pregnancy risk classification models, paving the way for improved maternal and infant healthcare outcomes.
Pengembangan Absensi berbasis Mobile Aplikasi pada Badan Kepegawaian dan Pengembangan Sumber Daya Manusia Kabupaten Bone Usman, Syahrul; Jeffry, Jeffry; Aziz, Firman
Jurnal Teknologi Terpadu Vol 7 No 2: Desember, 2021
Publisher : LPPM STT Terpadu Nurul Fikri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54914/jtt.v7i2.437

Abstract

Since being designated a global pandemic by the world health agency (WHO), the Corona Virus Disease (Covid-19) outbreak has become a scourge worldwide; various standard transmission control procedures have been set by WHO to break the chain of transmission.  Bone District Government through the Circular of the Regional Secretary No. 800/1919/VI/BKPSDM/2020 dated June 4, 2020, regarding the work system of State Civil Apparatus Employees (ASN) in the new standard order regulates employee attendance using manual attendance and not using fingerprint attendance machines, and this will undoubtedly affect the recording of the performance of each ASN where the attendance data is already connected to the e-performance application that is applied to the Bone district. The purpose of this research is to create an online attendance application based on Android Mobile to be an alternative way of being absent by using the data communication method using the Representational State Transfer (Rest) web service architecture and utilizing the HTTP protocol with JavaScript Object Notation (JSON) format and the Java programming language as a language. Mobile Application programming. The results of this study are a mobile-based attendance application that has been tested for web service performance using the Apache JMeter application to ensure this application is ready to be used simultaneously by many ASN.
Pengembangan Kawasan Bendungan Jatigede Sebagai Objek Daya Tarik Wisata Hayati, Ristia Nur; Aziz, Firman; Firmansyah, Buyung
JURNAL DESTINASI PARIWISATA Vol 11 No 1 (2023): VOL 11, NO 1 (2023): (JANUARY - JUNE)
Publisher : Program Studi Pariwisata Program Sarjana, Fakultas Pariwisata, Universitas Udayana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/JDEPAR.2023.v11.i01.p21

Abstract

The Jatigede Dam area is an area that has great potential as a tourist attraction in Sumedang City. This study aims to identify tourism potential in the Jatigede area and design a strategy for developing the area as a tourist attraction. This study uses a survey method through a quantitative approach, the data obtained is analyzed using a SWOT analysis. The results of the study show that the Jatigede area has great potential to become a superior tourist spot in Sumedang City. However, the area is still experiencing problems in terms of infrastructure. Based on the SWOT analysis, the recommended development strategy is to improve infrastructure, improve promotion and marketing, and develop diverse and quality tourism products. It is hoped that this development strategy can increase the attractiveness of the Jatigede area as a tourist attraction and have a positive impact on the local economy. Keywords: Jatigede Dam, Tourist Attraction, Development, Economy
Sistem Pendukung Keputusan Memprediksi Kelulusan Mahasiswa Informatika Menggunakan Metode Simple Additive Weighting Marcelina, Dona; Aziz, Firman; Manoppo, Yance
Jurnal Informasi dan Teknologi 2023, Vol. 5, No. 4
Publisher : SEULANGA SYSTEM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60083/jidt.v5i4.420

Abstract

Kelulusan mahasiswa menandai akhir dari penyelesaian seorang mahasiswa dari tingkat pendidikan sarjana. Untuk mendapatkan gelar sarjana (S1), mahasiswa harus memperoleh sekurang-kurangnya 140 SKS dan menempuh studi maksimal selama 14 semester. Namun, penulis melihat masih ada beberapa mahasiswa di bidang ini yang tidak lulus tepat waktu. Penulis telah memperhatikan bahwa beberapa mahasiswa tidak bisa menyelesaikan studi mereka tepat waktu. Oleh karenanya, penulis merancang sebuah sistem yang bisa memprediksi kelulusan mahasiswa dengan tepat waktu atau tidak dengan metode SAW (Simple Additive Weighting). Metode ini memakai kriteria seperti IPK, IPS, semester berjalan, dan kecukupan SKS. Penelitian ini menguji setidaknya 25 mahasiswa dengan menggunakan kriteria penilaian berupa IPK, dua nilai IPS terakhir, semester berjalan, dan jumlah SKS yang diperoleh. Sebagai hasil dari sistem tersebut, V23 dengan nilai 1 mendapat peringkat 1 dan lebih mungkin menyelesaikan kuliah tepat waktu.
Development Of Flipbook Media In Learning And Recognition Of Flat Building Shapes In Stimulating Children's Knowledge Wahyuningtyas, Dessy Putri; Rofi’i, Agus; Aziz, Firman; Fajriana, Fajriana; Kurniawan, Andri
JHSS (JOURNAL OF HUMANITIES AND SOCIAL STUDIES) Vol 7, No 2 (2023): JHSS (Journal of Humanities and Social Studies)
Publisher : UNIVERSITAS PAKUAN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33751/jhss.v7i2.8649

Abstract

This research aims to develop interactive flipbook media as a learning instrument and introduction to flat shapes for enhancing elementary school students' knowledge.  Using the ADDIE model, learning media are created by analyzing the learning requirements and knowledge of children in relation to the material of flat shapes during the analysis phase. In addition, during the design phase, the structure, content, and interactivity are tailored to the requirements of children. The evaluation stage was conducted by three subject matter experts who assessed seven aspects, of which one was rated as excellent, five as acceptable, and one as requiring improvement; specifically, the aspect of student participation and interaction. This study indicates that interactive flipbook media can be useful for teaching and learning about flat shapes in elementary school. This media can increase children's comprehension, interest, and motivation to learn, and help them make connections between the concepts of flat shapes and their commonplace lives.
Rancang Bangun Sistem Cerdas Pendeteksi Kerusakan Mesin Pada Sepeda Motor 4 Tak Aziz, Firman; Wungo, Supriyadi La; jeffry, Jeffry
Journal of System and Computer Engineering Vol 5 No 1 (2024): JSCE: Januari 2024
Publisher : Universitas Pancasakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61628/jsce.v5i1.1075

Abstract

The influence of using computer technology in solving a problem is very large, for example in determining motor damage. In this case, it is devoted to 4-stroke motorcycle vehicles. Currently, the average motorcyclist does not know about the symptoms or signs of damage to their vehicle, so motorists ignore these symptoms and consider these symptoms to be trivial problems, which will not cause damage to their motorcycles. Motorists will be aware of these symptoms after they can no longer use their vehicles. This research proposes to design an intelligent system that can help motorized vehicle drivers to find out earlier about symptoms or signs of damage to their vehicles and take appropriate action before more serious damage occurs to their vehicles. The results obtained are that an intelligent system can detect damage to a 4-stroke motor quickly and can facilitate the provision of solutions and the diagnostic process without a 4-stroke motor expert
Sistem Pendukung Keputusan Penentuan Destinasi Objek Wisata Dengan Metode Simple Additive Weighting (SAW) Berbasis Web jeffry, Jeffry; aziz, firman; usman, syahrul
Journal of System and Computer Engineering Vol 5 No 2 (2024): JSCE: Juli 2024
Publisher : Universitas Pancasakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61628/jsce.v5i2.1339

Abstract

One of the biggest regional proceeds of the North Toraja Regency comes from the utilization of tourist objects as recreational objects whether for the local communities or the overseas. However, the lack of information and the lack of systems technology in Toraja destination caused many tourists to visited a few of the many tourism objects available. This problem causes tourists to tend to visit only a fraction of the many tourism objects. Based on these problems, we need a system that helps provide information and determine tourist objects suitable for each tourist, and the tour is more varied. This study produces a decision support system for selecting tourism objects in North Toraja using the “Simple Additive Weighting” method based on a website in the goal of assisting tourists to determine tourist place
Communication Amongst Village Women's Groups As A Catalyst For Social Development Intan, Dyah Noor; Saidah, Siti; Aziz, Firman
Jurnal Scientia Vol. 13 No. 03 (2024): Education and Sosial science, June - August 2024
Publisher : Sean Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58471/scientia.v13i03.2538

Abstract

This research examines the role of communication among groups of village women as a catalyst for social development through a literature review method. Effective communication within village women's groups has great potential to improve various aspects of social development, including health, education and economic empowerment. However, challenges such as cultural barriers, infrastructure limitations, and internal conflicts can reduce the positive impact of communication. External support and strong leadership have proven important in facilitating productive communication. The research results show that good communication can increase access to basic services and strengthen participation in social programs. This research emphasizes the importance of a holistic approach to overcoming challenges and maximizing the benefits of communication in rural women's groups, as well as the need for further research to develop more effective strategies.
Enhancing Children's Reading Comprehension And Object Recognition Through Interactive Learning Media Arifin, Syaadiah; Hafsah, Hafni; Aziz, Firman; Fujiono, Fujiono; Hanayanti, Citra Siwi
Jurnal Scientia Vol. 13 No. 03 (2024): Education and Sosial science, June - August 2024
Publisher : Sean Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58471/scientia.v13i03.2539

Abstract

The role of interactive learning media in improving reading comprehension and object recognition in children. Using a literature review method, this research explores a range of interactive applications designed to support children's learning. Findings from the studies reviewed show that apps that integrate multimedia elements and interactive features can increase children's motivation and engagement, and improve their cognitive skills. However, there are challenges in ensuring that apps are not only entertaining but also educational, as well as the importance of parental involvement in the use of apps.
Co-Authors Abasa, Sustrin Achmad Hufad Adriana, Andi Nur Ilmi Adriana, Andi Nurilmi Afifah, Mira Aulia Ahmad Sukarna Syahrir, Ahmad Sukarna Akbar Taufik Almuhajir Haris, Almuhajir Amalyah, Aam Amelia, Kiki Resqy Ampauleng Ampauleng Andi Nurilmi Adriana Andi Taufiqurrahman Akbar Andjani, Andita Dwi Andri Kurniawan Andyka Andyka, Andyka Anirwan Anirwan Annisa Sakanti Tamir Anugriaty Indah Asmarany Arafah, Muhammad Nur Areta Nararya Putri Setiadi Arifin, Syaadiah Armansyah, M Rezky Armin Lawi Arni, Sitti Artikasari, Devina Arvito, Djendral Muhammad Aulia, Khansa Ayu Asrhi, Nur Ayu, Rizkia Siva Aziz, Naufal Nuurul Aziz Azizah, Regita Nur Azminuddin I. S. Azis Barokah, Nurul Nur Batau, Radus Bayu Purbha Sakti Buang, Ariyani Buang, Misbahuddin Buyung Firmansyah Delilah, Eva Dessy Putri Wahyuningtyas Dhilan Sasmita Eko Nur Hermansyah Enal Wahyudi, Abdi Fadhila Amri, Nur Faisal Rahman Fajriana, Fajriana Fani Temarwut, Farid Fatimah Azzahra NF Ferdiana, Ryan Fiina Lanahdiyan Najah Firmansyah Firmansyah Firmansyah Firmansyah, Arya Pramudya Fuadi Syam, Rahmat Fujiono, Fujiono Gunawan, Resky Nuralisa H, Rezha Ilma Hafsah, Hafni Hamdani Nur, Nur Hanayanti, Citra Siwi Hanum Nur Alifia Hasriani Hasriani, Hasriani Hayati, Ristia Nur Hechmi SHILI Hikam, Zaki Maula Hilyah, Finan Azka Nuzilla Indrayani, Lilis Intan, Dyah Noor Irmawati Irmawati Ishak, Pertiwi Iskandar, Imran Ismail Ismail Istiqamah, Nurul Jafar Jafar Jafar Jafar Jeffry Jeffry Jeffry Kahar Gani Khairunnisa, Salwa Khurosani, Bilqhis Isywal Kurniyan Sari, Sri Kusnadi, Iwan Henri Kusumawardhani, Anggun L.E.P, Benny La Wungo, Supriyadi Lempi, Herga Andar Lutfi Budi Ilmawan, Lutfi Budi M Rezky Armansyah Manan, Linda Ifni Pratiwi Marcelina, Dona Mardewi Mardewi Mardewi, Mardewi Marzuki Maulani, Rista Nabilah Meiliana, Annisa Merdewiningsi, Andi Mindra, Davin Septian Misbah Abdul Aziz Mohzana Muhammad Arfah Asis Muhammad Lutfi Muhammad Rijal Muhammad Rijal Mutia Maulida Nasir, Norma Nasruddin Nasruddin Nur Ayu Asrhi Nur Ayu Asrhi Nur Hamadani Nur Nur Hamdani Nur Nur, Nur Hamdani Nurafni Shahnyb Nurafni Shahnyb Nurdyansa Nurul Fathanah Mustamin Nurul Istiqamah Osman, Isnawati Panggabean, Benny Leonard Enrico Paramitha, Aura Rahma Priambodo, Caka Gatot Putra, Sudarmadi Putri Ayu Lestari Qamal Qamal raharjo, itot bian Rahma, Nabila Nailatur Rahma, Widya Rahmania Nur Saputra Reinata, Vanya Fara Restu Arsyana Riesna Apramilda Rijal, Muhammad Rizqya Aufa Nuraini Rofi’i, Agus Rohmah Nur Hidayah Ronald Yehezkiel Sitompul Rozak, Rama Wijaya Abdul Ryan Ferdiana Sari, Sri Kurniyan Satar Satar Sembiring, Darmawanta Shahnyb, Nurafni Shavi Khalwa Khalisha Simarmata, Victoria Clareva Siti Saidah Soeriakartalegawa, Aldo Pranata Sofyan Sofyan Sri Purwati, Sri Sumardi . Sumardi Sumardi Suroso Suroso Susatyo Adhi Pramono, Susatyo Adhi Syahrul Usman Syam, Rahmat Fuadi Syam, Rahmat Fuady Tanniewa, Adam M Taufik , Akbar Taufik, Akbar Tazkillah, Ghina Ajmal Triani, Novita Trianita, Desi Umar, Hendra Usulu, Elvira M. Velayaty, Ali Akbar Vismania S. Damaianti, Vismania S. Wahab, Andyka Wahyudi, Andi Enal Wiftasya, Najla Wijaya, Neti Septi Wiwik Handayani Wulandari, Ayu Ratna Wungo, Supriyadi La Yahya, Kurnia Yance Manoppo Yarkuran, Nuru Zahra Hasna Nabilla Zahra, Agifa Faiza Zevi, Fidiya Iryana Zhafira Tsania Rasyiffah Zulkarnain Zulkarnain Zulkarnain Zulkarnain