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Teknik Informatika Universitas Malikussaleh
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EFEKTIVITAS PELAKSANAAN PENGABDIAN MASYARAKAT DI KABUPATEN PESISIR SELATAN Nasution, Syamsarina; Mu’arrif, Zul Ihsan; Harahap, Samsul Bahry; Bustami, Bustami
RANGGUK: Jurnal Pengabdian Kepada Masyarakat Vol. 4 No. 2 (2024): RANGGUK: Jurnal Pengabdian Kepada Masyarakat
Publisher : Institut Agama Islam Negeri Kerinci

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32939/rgk.v4i2.3679

Abstract

The Community Service Program (KKN) conducted by students of the State Islamic Institute (IAIN) Kerinci in South Pesisir Regency, West Sumatra, aims to apply academic knowledge in addressing various social, economic, and educational challenges faced by the local community. Through collaboration between the university, local government, and the community, this program is designed to provide benefits and improve the quality of life for the community. Evaluations from various parties, including Field Supervising Lecturers (DPL), Village Heads, students, and the community, indicate a high level of satisfaction with the effectiveness of this program. DPLs highlight the program's success in providing a strong structure and apparatus support, contributing to capacity building for the community and students. Village Heads appreciate the integration and strong support from local leaders, while students show valuable learning experiences that support their growth. Evaluations from the community indicate the KKN program's direct positive impact on their welfare. The results of the evaluations affirm that the KKN program in South Pesisir Regency has successfully achieved its community service objectives, reflecting the successful implementation of participatory collaboration between the university, local government, and the community in inclusive and sustainable development. This program highlights the importance of community service as an integral part of higher education's tri dharma and demonstrates the added value of a collaborative approach in solving community problems.
PEMBERDAYAAN FUNGSI MANAJEMEN REMAJA MASJID BAITUL AMAL PULAU RAJO INDERAPURA Susyanti, Susyanti; Rimin, Rimin; Bustami, Bustami; Ikhlas, Nur
RANGGUK: Jurnal Pengabdian Kepada Masyarakat Vol. 3 No. 2 (2023): RANGGUK: Jurnal Pengabdian Kepada Masyarakat
Publisher : Institut Agama Islam Negeri Kerinci

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This research aims to analyze the main issues related to empowering youth management functions at Baitul Amal Rajo Island, Inderapura. The aim of this research is to understand the challenges teenagers face in managing time, resources and relationships with others, as well as to identify effective empowerment strategies to improve teenagers' managerial abilities. This research uses an Asset Based Community Development (ABCD) based approach, which is a consultative process to achieve the ability to inform the values of the younger generation as a community and local area. The results of this research show that teenagers in Baitul Amal Rajo Island Inderapura face challenges in managing time, resources, and relationships with others
OPTIMALISASI POTENSI LOKAL: PEMBERDAYAAN BERBASIS EKONOMI, SOSIAL DAN PENDIDIKAN DI KECAMATAN AIR PURA Hasanah, Nur; Ravico, Ravico; Bustami, Bustami; rimin, rimin; Siregar, Anggi Desviana; Yati, Risa Marta
RANGGUK: Jurnal Pengabdian Kepada Masyarakat Vol. 5 No. 1 (2025): RANGGUK: Jurnal Pengabdian Kepada Masyarakat
Publisher : Institut Agama Islam Negeri Kerinci

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32939/rgk.v5i1.4856

Abstract

This community service activity aims to optimize local potential in the Air Pura District through empowerment based on economic, social, and educational aspects. The program was designed using the Participatory Action Research (PAR) method, emphasizing active participation of the community at every stage, from problem identification and planning to activity evaluation. This participatory approach enables the community to be directly involved in exploring local potential, designing solutions, and taking actions aligned with their needs. The program achieved several key outcomes, including increased community income through diversification of livelihoods based on local potential, strengthened social and cultural values through collaborative activities, and improved education quality through skills training and literacy eradication programs. The success of this program not only brought about positive changes in economic, social, and educational aspects but also established a sustainable empowerment ecosystem. This empowerment model is expected to be replicable in other regions by adapting to their local characteristics.
Penyuluhan Mengenal Digital Finance dan Aplikasi Keuangan di Desa Bunga Tanjung Kabupaten Kerinci Bustami, Alek Wissalam; Mahabbati, Suci; Syukrawati, Syukrawati; Tiara, Tiara; Wahyuni, Endah Sri; Nilda, Elvi; Bustami, Bustami; Putra, Eka
RANGGUK: Jurnal Pengabdian Kepada Masyarakat Vol. 5 No. 2 (2025): RANGGUK: Jurnal Pengabdian Kepada Masyarakat
Publisher : Institut Agama Islam Negeri Kerinci

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32939/rgk.v5i2.5896

Abstract

Micro, Small, and Medium Enterprises (MSMEs) in Hiang Village, Setinjau Laut District, face challenges of limited visibility and market access due to the minimal utilization of digital technology. This low technology adoption is caused by a lack of knowledge, skills, and awareness regarding the potential of digital marketing. This community service activity aimed to enhance the capacity of MSME owners in utilizing Google Maps as a tool to increase their business visibility. The method employed was a participatory counseling approach, which included three stages: planning, implementation (consisting of socialization, theoretical presentation, and hands-on practice), and evaluation (through a post-test, feedback, and monitoring). The results showed a significant increase in participants' understanding, with over 90% passing the post-test. Moreover, there was a high rate of technology adoption, with 84% of participants successfully registering their businesses on Google Maps after the training. It is concluded that this outreach activity was effective in empowering MSMEs, providing a practical solution to the visibility problem, and serving as a strategic first step in bridging the digital divide in rural areas.
HUBUNGAN MEKANISME KOPING DENGAN KEPATUHAN DIET PADA PENDERITA DIABETES MELLITUS (DM) Baharuddin, Baharuddin; Bustami, Bustami; Anasril, Anasril
EMPIRIS : Jurnal Sains, Teknologi dan Kesehatan Vol. 2 No. 4 (2025): EMPIRIS : Jurnal Sains, Teknologi dan Kesehatan, Desember 2025
Publisher : Lembaga Pendidikan dan Penelitian Manggala Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62335/empiris.v2i4.1953

Abstract

The main treatment for patients with diabetes mellitus is diet therapy. Diet therapy is very important for people with diabetes mellitus, because by undergoing the right diet therapy, blood glucose levels and body weight can remain normal. Adaptive coping mechanisms can result in a better quality of life and positive actions. This study aims to determine the relationship between coping mechanisms and diet compliance in people with DM. The type of research used in this study is quantitative, with a cross-sectional study design. Data collection techniques used questionnaires. There were 78 respondents in this study. Data analysis used the Chi-Square test. The results showed that the majority of respondents had adaptive coping mechanisms, namely 64 people (82.1%), and most respondents adhered to the DM diet, namely 80.8%. The Chi-Square test results showed that there was a significant relationship between coping mechanisms and diet adherence with a p-value of 0.000 (p<0.05). It is recommended that the Trumon Community Health Center provide education on diet adherence and good coping mechanisms to DM patients
EFEKTIFITAS  PENYULUHAN  METODE  DEMONSTRASI  BREAST CARETERHADAP PENINGKATAN PENGETAHUAN  PADA IBU HAMIL Maryono, Maryono; Bustami, Bustami; Khairunnisak, Khairunnisak
EMPIRIS : Jurnal Sains, Teknologi dan Kesehatan Vol. 2 No. 4 (2025): EMPIRIS : Jurnal Sains, Teknologi dan Kesehatan, Desember 2025
Publisher : Lembaga Pendidikan dan Penelitian Manggala Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62335/empiris.v2i4.1954

Abstract

Global exclusive breastfeeding rates, despite an increase, have not risen significantly enough, with approximately 44% of infants aged 0-6 months worldwide receiving exclusive breastfeeding during the 2015-2020 period, compared to the WHO target of 50%. The low rate of exclusive breastfeeding will have an impact on the quality and life expectancy of future generations. Breast care has a positive effect on increasing breast milk production; therefore, breast care needs to be implemented by pregnant and postpartum mothers. There are various ways to improve breast care skills among pregnant and postpartum women, one of which is through demonstration. This study aims to determine and analyze the effectiveness of demonstration methods in increasing knowledge about breast care among pregnant women. This study used a quasi-experimental design. Data collection was conducted using questionnaires. There were 30 respondents in this study. The results showed that there was an increase in knowledge about breast care from before the demonstration with an average score of 5.8 to 8.37 after the demonstration. The Wilcoxon Signed Ranks Test showed that the p-value was 0.000 (p<0.05). It is recommended that health workers provide health education using the breast care demonstration method to increase the knowledge of pregnant women.
IMPLEMENTATION OF A SMART EMERGENCY LAMP HOME PROTOTYPE BASED ON INTERNET OF THINGS (IoT) USING NODEMCU ESP32 MICROCONTROLLER Muhammad Fajri; Bustami Bustami; Lidya Rosnita
Multidiciplinary Output Research For Actual and International Issue (MORFAI) Vol. 4 No. 4 (2024): Multidiciplinary Output Research For Actual and International Issue
Publisher : RADJA PUBLIKA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54443/morfai.v4i4.3546

Abstract

Power outages in residential environments such as boarding houses often disrupt safety and comfort due to the lack of adequate emergency lighting systems. This study aims to develop a Smart Emergency Lamp Home prototype using the Internet of Things (IoT) with a NodeMCU ESP32 microcontroller. The system is designed to automatically activate emergency lighting during power failures and enable real-time monitoring and control via a web-based interface. The research follows an engineering method involving system design, hardware-software integration, and prototype testing. The hardware includes power sensors (INA219 and PZEM-004T), a 12V battery, inverter, relay module, and TFT display, while the software uses Node.js and a PostgreSQL database for web monitoring. Testing results demonstrate the system's high responsiveness, accurate sensor data transmission, efficient power usage (with power factors above 0.94), and stable operation during simulated blackouts. The notification system also worked effectively, providing timely alerts regarding lamp status and battery conditions. This prototype offers a practical, scalable, and low-cost solution for emergency lighting in residential settings and can be further developed with features like solar charging and mobile-based monitoring.
Exploratory Data Analysis and Machine Learning Approaches for Early Detection of Student Depression Muhammad Fikry; Bustami Bustami; Ella Suzanna
Proceeding of the International Conference on Electrical Engineering and Informatics Vol. 1 No. 2 (2024): July : Proceeding of the International Conference on Electrical Engineering and
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/iceei.v1i2.31

Abstract

This study conducts an exploratory data analysis combined with machine learning techniques to identify early signs of student depression. We investigated various factors affecting mental health among students, including sleep duration, dietary patterns, history of suicidal thoughts, family history of mental illness, and their relationships with depression across age groups and academic pressure. The study also examined the influence of gender on academic stress levels. Three machine learning models such as Random Forest, Support Vector Machine (SVM), and K-Nearest Neighbors (KNN) were utilized to predict depression. The performance of these models was evaluated, achieving accuracy rates of 84.97% for Random Forest, 84.85% for SVM, and 81.16% for KNN. The findings highlight the effectiveness of these models in predicting student depression and underscore the importance of targeted mental health interventions based on key factors influencing mental health among students.
Sistem Informasi Geografis ( Sig ) Pemetaan Daerah Rawan Bencana Banjir di Kec. Lhoksukon Kab. Aceh Utara Berbasis Web Menggunakan Metode K-Medoids Karimullah Karimullah; Bustami Bustami; Hafizh Al Kautsar
Jurnal Ners Vol. 9 No. 3 (2025): JULI 2025
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jn.v9i3.46244

Abstract

Abstrak Banjir merupakan bencana alam yang sering terjadi di Indonesia, termasuk di Kecamatan Lhoksukon, Kabupaten Aceh Utara. Minimnya informasi spasial mengenai daerah rawan banjir menghambat upaya mitigasi dan penanggulangan bencana secara efektif. Penelitian ini bertujuan untuk membangun sebuah Sistem Informasi Geografis (SIG) berbasis web guna memetakan daerah rawan bencana banjir dengan menerapkan metode clustering K-Medoids. Data yang digunakan berasal dari Badan Penanggulangan Bencana Daerah (BPBD) Aceh Utara tahun 2017–2021 serta hasil wawancara dengan masyarakat setempat. Sistem ini mampu mengelompokkan daerah berdasarkan tingkat kerawanan banjir berdasarkan beberapa parameter seperti struktur tanah, kemiringan tanah, dan penggunaan lahan. Metode K-Medoids dipilih karena memiliki ketahanan yang lebih baik terhadap outlier dibanding metode lain seperti K-Means. Hasil sistem divisualisasikan dalam bentuk peta digital yang dapat diakses melalui web untuk memudahkan pihak BPBD dan masyarakat dalam memahami distribusi kerawanan banjir. Dengan adanya sistem ini, diharapkan dapat membantu dalam pengambilan keputusan yang lebih cepat dan akurat dalam upaya penanggulangan bencana banjir di masa depan. Kata Kunci: Sistem Informasi Geografis, Banjir, K-Medoids, Clustering, Aceh Utara Abstract Flooding is a frequent natural disaster in Indonesia, including in Lhoksukon Subdistrict, North Aceh Regency. The lack of spatial information regarding flood-prone areas hampers effective disaster mitigation and response. This research aims to develop a web-based Geographic Information System (GIS) to map flood-prone areas using the K-Medoids clustering method. The data used were obtained from the North Aceh Regional Disaster Management Agency (BPBD) for the years 2017–2021 and interviews with local residents. The system classifies regions based on flood vulnerability levels using parameters such as soil structure, land slope, and land use. The K-Medoids method was chosen for its superior resilience to outliers compared to other methods such as K-Means. The results are visualized through a web-accessible digital map to help BPBD and the public understand the spatial distribution of flood risk. This system is expected to support quicker and more accurate decision-making for future flood disaster management. Keywords: Geographic Information System, Flood, K-Medoids, Clustering, North Aceh
Application Of Data Mining For Classification Of BLT-DD Recipients Using The Support Vector Machine Method Meliza Putri; Bustami; Ar Razi
Proceedings of International Conference on Multidisciplinary Engineering (ICOMDEN) Vol. 2 (2024): Proceedings of International Conference on Multidisciplinary Engineering (ICOMDEN)
Publisher : Faculty of Engineering, Malikussaleh University

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This study focuses on the application of the Support Vector Machine (SVM) algorithm for classifying recipients who are eligible to receive Direct Cash Assistance from the Village Fund (BLT-DD) in Nurussalam District, East Aceh Regency. The background of this research is the difficulty in identifying households eligible for BLT-DD due to increasing poverty and economic inequality exacerbated by the COVID-19 pandemic. This study aims to address this issue by utilizing the SVM algorithm, which can separate household data into two categories: "Eligible" and "Not Eligible." A total of 550 data points from Nurussalam District were used in this study, with 400 data points for training and 150 data points for testing. In the training data, 322 households (80.5%) were classified as "Eligible," while 78 households (19.5%) were categorized as "Not Eligible." The data collected includes variables such as household income, type of employment, education level, history of chronic disease, and home ownership status. After preprocessing the data, such as normalization and encoding, the SVM model was trained to classify BLT-DD recipients. In the testing data, 128 data points (85.33%) were classified as "Eligible," while 22 data points (14.67%) were classified as "Not Eligible." Further analysis of village distribution in Nurussalam District shows that some villages have a high percentage of eligible recipients, such as Blang Rambong and Alue Jagat, with 100% of recipients classified as "Eligible." Other villages, such as Arul Pinang and Alue Dua Muka O, show more varied eligibility rates, with 71.43% and 72.73% classified as "Eligible," respectively. In conclusion, the SVM algorithm provides an effective approach in determining the eligibility of BLT-DD recipients, helping the government to distribute assistance more accurately and efficiently in Nurussalam District.
Co-Authors Abd Mubaraq, S.E.,Sy. M.A Achmad Achmad Adhi Yuniarto Agus Maula Rizki Ahmad Farhan, Ahmad Aidilof , Hafizh Al Kautsar Aidilof, Hafizh Al Kausar Ainal Mardhiah alaldaya, Rudyn Alek Wissalam Bustami Alfyansyah, Gusti Alhamidiy, Abdillah Nur Ali Masduqi Alkafi, Alkafi Amalia, Sisi Amiruddin Amiruddin anasril, anasril Anggi Desviana Siregar Desviana Siregar, Anggi Desviana Siregar Desviana Anggraini, Selia Apriyani, Firli Mai Ar Razi Ardelia, Aya Sofia Aris Munandar Arminingsih, Diah Asmirayani Asmirayani Asmirayani, Asmirayani Auliaurrahman, Auliaurrahman Azhar Azhar Azhari, Husain Azrai Putra Barumun Daulay Azzahra, Dea Bagas Wahyu Adhi, Bagas Wahyu Baharuddin Baharuddin Bancin, Udurta Bustami, Yuserizal Custer, Jhonny Cut Farida Aryani Dafiar Syarif Dea Azzahra Depi Sihotang Desiana Desiana, Desiana Dwi Kurniawan, Dwi Eka Putra Ekajaya, Candra Ella Suzanna Endah Sri Wahyuni Endang Susilawati Fadlisyah Fadlisyah Fahrul Rozi Siregar Faishol Luthfi Fajriana, Fajriana Fasdarsyah Fasdarsyah Fatika, Dian Fiasari, Fiasari Gusti Alfyansyah Gusti Alfyansyah Hafidh Rafif, Teuku Muhammad Hafizh Al Kautsar Aidilof Hakim, Kurniawati Halimatussakdiah Halimatussakdiah Harahap, Elly Wanisyah Harahap, Ilham Taruna Harahap, Samsul Bahry Hariya Toni Hasan Sazali Herlambang, Tri Mulyono Ikhlas, Nur ilham - sahputra INDRAYANI INDRAYANI Irma Mauliza Iskandar, Fahra Azzahra Ismail Ismail Joko Santoso Jufrizal Jufrizal Junita, Dini Jurisman Amin Karimullah Karimullah Katimin, Katimin Khairunnisak Khairunnisak, Khairunnisak Kholil, Syukur Lahmuddin Lubis Laksamana, Rio Lenny Hasan, Henny Sjafitri, Nelharosma, Liana, Intan Lidya Rosnita lidyarosnita Luthfiah, Moulana M Fauzan Mahabbati, Suci Maharani, Silfa Mailin, Mailin Mardhatillah, Mardhatillah Maryana Maryana, Maryana Maryono Maryono Maulidi Maulidi Mauliza, Irma Meldawati, Yesi Meliza Putri Mubaraq, Abd Muhammad Fajri Muhammad Fauzan Muhammad Fikry Muhammad Hutomi Muhammad Jihad Saputra Muhammad Khardawi MUHAMMAD KOSIM, MUHAMMAD Muhammad Muhammad Muhammad Muhammad Muhammad Yani, Muhammad Mukhlish Muhammad Nur Mukti Qamal Mukti Qamal Mulyani, Tasya Munirul Ula Murni, Mayang Mutammimul Ula Muthmainnah Muthmainnah Mu’arrif, Zul Ihsan Najah, Nyayu Siti Hidayatun Nastasya, Widia NELI SUSANTI, NELI Ngadimin Ngadimin Nilda, Elvi Nisa, Cut Chairun Nunsina, Nunsina Nur Hasanah Nurdin Nurdin Nurhasanah Nurhasanah Nurhayani, Melda Vitry Nyak Arief, Teuku Okataria, Welan Pramadani, Kendra Putri, Dea Rizka Amanda Putri, Mia Yolanda Utami Putri, Rahmatillah Dwi Rahmah Hayati Rahmiati Rahmiati Ravico Ravico, Ravico Razi, Ar Rian Diana Ridhwan Ridhwan, Ridhwan Ridwan, Ridwan Rimin Rini Fitriani Rini Meiyanti Risa Marta Yati Risawandi, Risawandi Rizal Rizal Rizal S.Si., M.IT, Rizal Rizki Putri Ramadhani, Rizki Putri Rizki Suwanda Rosyanne Kushargina Rozzi Kesuma Dinata RR. Ella Evrita Hestiandari Rusdi Rusdi Safri, Hayanuddin Safwandi Safwandi, Safwandi Said Fadlan Anshari Salhan, Susi Samosir, Dini Kairiyah Sari, Efti Novita Sayed Fachrurrazi Senda, Tito Afwi Setyarini Soemadi, Dian Shayravi Shayravi Shayravi, Shayravi Siregar, Fahrul Rozi Siti Nurhaliza Siti Sahara Suci Fitriani, Suci Suharyon, Suharyon Sujacka Retno Sumanti, Eva Supriaman, Supriaman Suryana Suryana Suryana Suryana Susyanti Susyanti, Susyanti Syafii, Muhammad Hisyam Syafruddin Nurdin syah, Fadli Syahbudi, Syahbudi Syahputra, M Oriza Syahrial, Dopa Syammaun, Tamalkhani Syamsarina, Syamsarina Syibral Malasyi syukrawati, syukrawati Tarisha Zhafira Taufik, M. Iman Teuku Mudi Hafli Tiara, Tiara Tri Mulyono Tri Mulyono H, Khairunnisak Utama, Lalu Juntra Yacoub, Yarlina Yanti, Meyi Yesy Afrillia Yonaldi, Sepris Yulia Fitri Yunianto, Andi Eka Yunina Yunina Zara Yunizar Zubir, Zubir Zuleha, Zuleha Zulkarnen Mora, Zulkarnen Zulmi, Syafriade