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All Journal Jurnal Biodjati IJID (International Journal on Informatics for Development) Rayah Al Islam : Jurnal Ilmu Islam Discovery : Jurnal Ilmu Pengetahuan Jurnal Widyaiswara Indonesia Jurnal Kesehatan STIKes IMC Bintaro Journal of Innovation in Community Empowerment (JICE) International Journal Software Engineering and Computer Science (IJSECS) Indonesian Journal of Business Analytics (IJBA) Jurnal Manajemen Pendidikan Islam Al-Munadzomah Journal of Social Empowerment Tanzhimuna : Jurnal Manajemen Pendidikan Islam Scholarly Journal of Elementary School Journal of Central Banking Law and Institutions ABDIMASNU: Jurnal Pengabdian kepada Masyarakat JIAN (Jurnal Ilmiah Administrasi Negara) Jurnal Indonesia : Manajemen Informatika dan Komunikasi Journal Innovations Computer Science International Nutrition and Health Administrations Journal Jurnal Pengabdian Masyarakat Mandira Cendikia (JPKM-MC) ASWALALITA: Journal of Da'wah Management
Sugiyono
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Religion Agriculture, Biological Sciences & Forestry Arts Humanities Biochemistry, Genetics & Molecular Biology Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Medicine & Pharmacology Nursing Physics Public Health Social Sciences Transportation Veterinary Other

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Pemodelan Data Mining Transaksi Penjualan Menggunakan Algoritma Apriori (Studi Kasus: Kedai Ngodeng & Smoothies) Hartinah, Suci Sugih; Sugiyono
Jurnal Indonesia : Manajemen Informatika dan Komunikasi Vol. 5 No. 3 (2024): September
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) STMIK Indonesia Banda Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jimik.v5i3.992

Abstract

The role of UMKM is very large in the growth of the Indonesian economy, Kedai Ngodeng & Smoothies, as one of the UMKM that is active in the food and beverage industry. This shop has not made maximum use of sales transaction data. The transaction data is only used as an archive and is not used to organize sales strategies. In this research, the method used is the a priori algorithm to determine the relationship between one product item and other product items so that it can be used as a promotional package or bundling to increase sales profits. The data used is sales transaction data for the Ngodeng & Smoothies shop from January to May 2024. The research began with initial data collection, followed by data description and evaluation of data selection. After that, attribute selection is carried out. The CRISP-DM method is applied in this research which includes six stages, namely business understanding, data understanding, data preparation, modeling, evaluation and dissemination. Based on the results of the research, there are 95 Association Rules based on previously determined parameters, namely the minimum support value is 50% and the minimum confidence is 90%. One of the rules that was formed is that Smoothies Mangga Large, Twister, Kembang Cumi --> Odeng Spicy has a confidence value of 100%. The information obtained can provide important insights into customer preferences and can be used to design more effective product bundling promotions.
Pemodelan Text Mining untuk Analisis Sentimen Terhadap Program Makan Siang Gratis di Media Sosial X Menggunakan Algoritma Support Vector Machine (SVM) Purwanti, Zahra; Sugiyono
Jurnal Indonesia : Manajemen Informatika dan Komunikasi Vol. 5 No. 3 (2024): September
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) STMIK Indonesia Banda Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jimik.v5i3.1001

Abstract

The free lunch program is an initiative that provides free lunches and milk in schools and Islamic boarding schools, as well as providing nutritional support for children under five and pregnant women. Even though efforts to overcome stunting with this program are considered too late, providing free milk to pregnant women is considered more relevant for dealing with the stunting problem. Based on experience from various countries, the free lunch program shows various positive impacts, including increasing children's nutritional intake, increasing school participation, developing student character, and supporting the family and national economy. Discussions about this program received various responses from netizens, including platform X users. Online platforms have an important role in reaching and disseminating information about various social programs. In this context, the support vector machine method can be used to classify netizen responses to the free lunch program into positive and negative categories. It is hoped that this analysis will provide a deeper understanding of how this program is received by the general public, as well as provide suggestions for policy makers in designing social programs in the future.
Klasterisasi Penggunaan Ban dengan Cost Per Kilometer Terendah pada PT. PL menggunakan Metode K-Means Syani, Muhammad; Tundo; Sugiyono; Wahyudi, Tri
Jurnal Indonesia : Manajemen Informatika dan Komunikasi Vol. 5 No. 3 (2024): September
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) STMIK Indonesia Banda Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jimik.v5i3.1005

Abstract

Established in 1969, PT. Puninar has grown to become one of Indonesia's leading logistics companies. The company provides a broad range of logistics solutions through its subsidiaries, encompassing material management, manufacturing, warehousing, distribution, customs services, freight forwarding, and post-delivery operations. After fuel, tires represent the second-largest expenditure for the company. Proper tire management can reduce maintenance costs, making it a key cost-reduction strategy in the logistics sector. This study utilizes data mining techniques, specifically the K-means method, to analyze and classify tires based on travel distance and the lowest cost per kilometer, enabling monthly cost monitoring. PT. Puninar allocates approximately two billion rupiah per month for tire inventory due to its fleet of over seven hundred trucks. The company currently employs various tire brands, including Bridgestone, Doublecoin, Effiplus, Chengsang, and others, with varying levels of durability.
Pemodelan Teknologi dalam Aplikasi KitaLulus untuk Lowongan Pekerjaan Menggunakan Metode Technology Acceptance Model (TAM) Sugiyono; Hidayah, Vara Maulidyah
Jurnal Indonesia : Manajemen Informatika dan Komunikasi Vol. 5 No. 3 (2024): September
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) STMIK Indonesia Banda Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jimik.v5i3.1014

Abstract

Technological advancements have increased the need for job vacancy information, while the unemployment rate in Indonesia remains high. The KitaLulus application is designed to facilitate job seekers in finding opportunities that match their qualifications and preferences. This study adopts the Technology Acceptance Model (TAM) to analyze user acceptance of this application, focusing on perceived usefulness and perceived ease of use. The objective of this research is to evaluate users' perceptions of the KitaLulus application and analyze the influence of perceived usefulness, perceived ease of use, and behavioral intention on actual system usage. The results indicate that perceived usefulness and perceived ease of use significantly influence the acceptance and use of the KitaLulus application. These findings emphasize the importance of intuitive and beneficial application design to enhance technology adoption, while contributing to the development of job search applications and the academic literature on technology acceptance.
Analisis Sentimen Pada Media Sosial X (Twitter) Terhadap Tumor Jinak Payudara Menggunakan Metode Naïve Bayes Lestari, Syntha Agung; Sugiyono
Jurnal Indonesia : Manajemen Informatika dan Komunikasi Vol. 5 No. 3 (2024): September
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) STMIK Indonesia Banda Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jimik.v5i3.1015

Abstract

Benign breast tumors are a medical condition that often raises concerns among the public. This research aims to analyze public sentiment towards benign breast tumors via social media Twitter (X) using the Naïve Bayes algorithm. Data was collected from tweets containing keywords related to benign breast tumors within a certain time period. After data pre-processing, including text cleaning and duplication removal, the data was then classified into positive and negative sentiments using the Naïve Bayes algorithm. This research provides insight into public perceptions of benign breast tumors on social media, and emphasizes the importance of more in-depth health education and disseminating accurate information about the condition. It is hoped that the results of this research can become a reference for health practitioners and policy makers in designing more effective health communication strategies.
Analisa Sentimen Pada Media Sosial “X” Pencarian Keyword ChatGPT Menggunakan Algoritma K-Nearest Neighbors (KNN) Akbar, Yuma; Regita, Anggit Nur Hannaa; Sugiyono; Wahyudi, Tri
Jurnal Indonesia : Manajemen Informatika dan Komunikasi Vol. 5 No. 3 (2024): September
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) STMIK Indonesia Banda Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jimik.v5i3.1016

Abstract

Sentiment analysis of the use of Artificial Intelligence (AI) is becoming increasingly important in public understanding of today's rapidly evolving technology, as it helps facilitate human activities. One of the key applications is the presence of ChatGPT, an AI capable of interacting with users through user input, such as answering various questions posed. This topic generates a lot of pros and cons, as widely discussed on social media. Research is needed to evaluate how wisely people use this AI. This study proposes an approach using the K-Nearest Neighbors (KNN) algorithm to analyze AI-related sentiment. The KNN algorithm is used to classify sentiment into positive, negative, or neutral, based on the similarity with the closest word in the feature space derived from text data. This method allows for efficient sentiment grouping without the need for complex models. Researchers chose sentiment analysis because it is an appropriate technique for data processing. Of the 1000 reviews collected from social media users on “X,” 853 were positive, and 147 were negative. The data was classified using the KNN algorithm, followed by an accuracy evaluation yielding 84.80%. The results of this sentiment analysis are expected to guide decision-makers in developing and applying AI technology more intelligently, in line with societal needs and expectations.
Automatic Detection of Skin Diseases Using Convolutional Neural Network Algorithms Tundo; Prayogo, Fadillah Abi; Sugiyono
International Journal Software Engineering and Computer Science (IJSECS) Vol. 4 No. 3 (2024): DECEMBER 2024
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijsecs.v4i3.3021

Abstract

Skin diseases are a major health concern in Indone sia and they can seriously impact a patient’s quality of life. The problem is aggravated by humid tropical climate, limited access to healthcare facilities, and a lack of trained dermatology personnel. The cases in Indonesia are many, and the diagnosis and treatment of skin diseases are delayed, which makes the patient's condition worse. Based on data from the Ministry of Health (Kemenkes), the prevalence of skin disease in Indonesia is 0.62 cases per 10,000 population with the highest prevalence in Eastern Indonesia. Developing a Skin Disease Detection System Based on Convolutional Neural Network (CNN) algorithms. However, CNN algorithms are widely used in image recognition and classification, and can act as an automatic diagnostic system. This system has been developed to aid in diagnosis and improve patient access to dermatological care, especially for remote communities. Users can reach out for services at any time and any location, a practical solution for treating skin health problems. This study's results are anticipated to lower the diagnostic delays and improve the treatment outcomes while offering quick access to reliable dermatological service. This is a great effort on global level for any skin disease supporting to improve life of human lives from skin health issues.
KOMPETENSI KEPRIBADIAN GURU DALAM PERSPEKTIF ABDULLAH NASIH ULWAN Sugiyono; Azhar Fakhru Rijal; Suklani
TANZHIMUNA : Jurnal Manajemen Pendidikan Islam Vol. 1 No. 2 (2021): Manajemen Pendidikan Islam
Publisher : Sekolah Tinggi Ilmu Tarbiyah Buntet Pesantren Cirebon

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54213/tanzhimuna.v1i2.496

Abstract

Menjadi guru adalah sebuah profesi yang menjadikan pelakunya memiliki kehormatan. Didalam Islam guru merupakan salah satu profesi yang memiliki kedudukan yang tinggi karena dipandang sebagai seorang yang memiliki ilmu. Allah subhanahu wa ta’ala akan mengangkat derajat orang yang beriman dan memiliki ilmu. Selain membimbing peserta didik dalam proses pembelajaran, guru juga dibebani amanah untuk mendidik hingga mengevaluasi hasil belajar peserta didik, bahkan guru dituntut harus menguasai materi serta amalan yang akan diajarkan. Dalam usaha memenuhi tugas yang beragam tersebut, tentunya membutuhkan kompetensi keikhlasan, santun dan juga rasa tanggungjawab dalam menjalankan proses edukasi kepada peserta didik, dimana sikap tersebut biasa dikatakan sebagai kompetensi kepribadian. Dalam sejarahnya, Islam telah banyak melahirkan tokoh-tokoh guru yang memiliki kompetensi kepribadian. Diantaranya Imam Al-Ghazali, sedangkan di era kontemporer yaitu Abdullah Nasih Ulwan dimana karyanya yaitu Tarbiyatul Aulad. Dalam kitab tersebut dituangkan berbagai macam masalah pendidikan yang dimana menurutnya tidak semua disebabkan rendahnya IQ, tetapi bisa jadi lentaran gurunya yang tidak piawai dalam menyampaikan ilmu.
Analisis Keamanan Data Penerapan Aplikasi Emis di MI Ma’arif NU 001 Samarinda Wahyudi, Yasin; Sugiyono
Rayah Al-Islam Vol 8 No 4 (2024): Rayah Al Islam November 2024
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat, Sekolah Tinggi Ilmu Bahasa Arab Ar Raayah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37274/rais.v8i4.1277

Abstract

Penggunaan Aplikasi EMIS (Education Management Information System) di MI Ma’arif NU 001 Samarinda dimaksudkan untuk meningkatkan efisiensi dalam pengelolaan data pendidikan. Namun, seiring dengan meningkatnya penggunaan aplikasi digital, aspek keamanan data menjadi semakin krusial. Penelitian ini menyoroti analisis keamanan data dalam pemanfaatan aplikasi EMIS di MI Ma’arif NU 001 Samarinda, dengan metode yang mencakup identifikasi potensi ancaman, kelemahan sistem, serta evaluasi terhadap langkah-langkah keamanan yang sudah diimplementasikan. Hasil penelitian mengungkapkan adanya beberapa risiko keamanan, seperti kebocoran data siswa dan guru, serangan siber, serta akses tidak sah. Selain itu, kurangnya kesadaran pengguna mengenai pentingnya keamanan data turut memperbesar risiko tersebut. Penelitian ini merekomendasikan peningkatan pemahaman pengguna tentang keamanan data, penerapan protokol keamanan yang lebih kuat, termasuk enkripsi, autentikasi ganda, serta pemantauan dan audit akses secara rutin. Dengan demikian, diharapkan penerapan EMIS yang lebih aman dapat melindungi kerahasiaan dan integritas data pendidikan di MI Ma’arif NU 01 Samarinda.
COREELATION BETWEEN LEADERSHIP STYLE AND EMPLOYEE PERFORMANCE IN THE MANAGEMENT DEPARTMENT OF RSNU TUBAN BASED ON PATH GOAL THEORY Surotul Ilmiah; Sugiyono
International Nutrition and Health Administrations Journal Vol. 4 No. 1 (2025): INHAJ
Publisher : Fakultas Kesehatan, Institut Ilmu Kesehatan Nahdlatul Ulama Tuban

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47710/inhaj.v4i1.39

Abstract

Leadership is a universal phenomenon in collective life, playing a central role in organizational and group dynamics. To achieve common goals, individuals within an organization need to foster unity by following the guidance of their leader. Leadership style is the way a leader performs their role in directing subordinates. This study aims to analyze the relationship between leadership style and employee performance in the management department of RSNU Tuban. A quantitative, analytical, correlational method was employed through an observational approach with a cross-sectional time frame. The study population comprised 130 employees, with a sample of 97 respondents selected through simple random sampling. The independent variable was leadership style, while the dependent variable was employee performance in the management department of RSNU Tuban. Data analysis used the Spearman test. The data collection results indicate a significant relationship between leadership style and employee performance, as evidenced by an Asymp  Sig (2-sided) value of 0.000. A lower p-value signifies a higher level of significance in the study. This means the null hypothesis (H0) is rejected, and the alternative hypothesis (H1) is accepted. The findings underscore a significant relationship between leadership style and employee performance in the management department of RSNU Tuban. 
Co-Authors Afifah, Ridha Ahmad Taufiq Akbar, Yuma Al Faruq, Abdullah Allya Alifia Purbaya Amelia, Ika Annisa Nursoleha Arham Asep Mulyana Ayuningtyas, Mia Azhar Fakhru Rijal Aziz, Naufal Didik Junaedi Rachbini Dini Silmy Aulia Erlangga Haq, Yogie Esti Nur Qorimah Eva Silviana Rahmawati Febiyanti Puspitaningrum Hadi Nugroho Hartinah, Suci Sugih Haryati Hidayah, Vara Maulidyah Husna, Nadia Indra Meifiani, Nely Indra, Siswanti Januwarso, Arief Krisdiyansah, Yuyu Kurnia Rahayu Purnama Sari Lestari, Syntha Agung muhamad abdulloh afandi Nabila Fairuz Nuranthis Niken Larasati Niken Larasati Nofran Putra Pratama Novianto, Herta Patrisia, Jessika Prayogo, Fadillah Abi Purnama Sari, Dwi Kurnia Purwanti, Zahra Rahmawati , Eva Silviana Raihanah, Syifa Regita, Anggit Nur Hannaa Rendie Prasetyo Reza Iqbal Suhada Royani Sari, Kumila Sarimole, Frencis Matheos Setyo, Riyanto Siti Samiyarsih Suklani Surotul Ilmiah Suryatin, Suryatin Syani, Muhammad Tri Wahyudi Tundo, Tundo Wahyudi, Yasin Wulandari, Shintia Yanti, Mal Isnaini Sri Mey Yuni Andriani