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PENERAPAN METODE APRIORI SEBAGAI SISTEM PENDUKUNG KEPUTUSAN PEMBENTUKAN PAKET PENJUALAN BIBIT BUAH Hammad, Rifqi; Hardita, Veny Cahya; Zulfikri, Muhammad; Sholeha, Eka Wahyu
Jurnal Saintekom : Sains, Teknologi, Komputer dan Manajemen Vol 12 No 1 (2022): Maret 2022
Publisher : STMIK Palangkaraya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33020/saintekom.v12i1.240

Taletan Ijo is an online shop that sells fruit seeds. In carrying out its business processes, he utilizes a sales information system. The system is used to manage sales data. If the data is not used, it will lead to accumulation of data but lack of information. Taletan ijo uses the manual method in its product marketing strategy so that the strategy used is not quite right. Stored sales transaction data can be used as a reference in making marketing strategies such as making product sales packages. This study uses data mining methods, namely associations with a priori algorithms to process transaction data into information that can help support decisions in determining marketing strategies. The results of the study show that the lift ratio test results obtained are 3.2 which indicates that the value is valid with a minimum number of transactions of 10 and a confidence value of 80.

MENINGKATKAN KEMAPUAN MENULIS GURU MELALUI PELATIHAN PENELITIAN TINDAKAN KELAS (PTK) Ahmad, Ahmad; Ratu Perwira Negara, Habib; Irfan, Pahrul; Hammad, Rifqi; Abd. Latif, Kurniadin; Zulfikri, Muhammad; Arfa, Muhammad
Jurnal Interaktif: Warta Pengabdian Pendidikan Vol 3 No 2 (2023): Edisi Desember 2023
Publisher : Jurusan Ilmu Pendidikan, FKIP, Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/interaktif.v3i2.108

The purpose of this service is to improve teachers' writing skills through the application of Classroom Action Research Training (PTK). This activity is in collaboration with the West Lombok School Principals Group (MKKS) and the Basic Education Quality Improvement Agency (BPMPD) (CLUSTER VI Lingsar District). The training organized involves a series of structured activities designed to improve teacher skills in Compiling and creating research reports Classroom actions which are further amended in the form of research articles. By involving teachers as agents of change, this dedication has succeeded in creating a dynamic and responsive learning environment. In addition, teachers have developed skills of analysis, reflection, and adjustment of their learning practices. Thus, the conclusion of this service confirms that the teachers who participated in the PTK training have been able to understand all the material presented and create a positive impact to develop themselves in the learning process that is inseparable from the implementation of classroom action research (PTK) in the classroom.

Implementasi Perangkat Lunak Deteksi Penyakit Retinopati Hipertensi Di Polimata Rumah sakit Umum Provinsi Nusa Tenggara Barat Triwijoyo, Bambang Krismono; Adil, Ahmat; Zulfikri, Muhammad; Widyawati, Lilik; Titik Ceriyani Miswaty; Elyakim Nova Supriyedi Patty
Jurnal Pengabdian kepada Masyarakat IPTEKS Vol. 2 No. 1 (2024)
Publisher : Rajawali Media Utama

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

Hypertensive retinopathy is a type of eye disease where microvascular changes occur in the retina experienced by high blood pressure sufferers. The arterial and venous ratio (AVR) in the retina of the eye is an indicator used to determine the presence of high blood pressure, which is measured by the ratio of the width of the retinal arteries and veins. Traditionally, ophthalmologists use fundus images or retinal images of the eye to diagnose hypertensive retinopathy's physical symptoms and determine the phase of evolution. Still, traditional methods have limitations because, in the case of borderline stages, the early symptoms of hypertensive retinopathy will be difficult to identify manually, so they are often ignored. Referring to these problems, early diagnosis is needed for accurate prevention and treatment of hypertensive retinopathy. Based on the abovementioned issues, this service activity aims to implement a hypertensive retinopathy disease detection model using a local dataset from a regional general hospital in West Nusa Tenggara (NTB). It will compare the model detection results with those of three eye disease experts. Classification model testing results using the Messidor training and NTB Regional Hospital datasets. In models using the Messidor training dataset, the highest accuracy is a comparison with the results of the most senior expert's observations. The results of the classification model are only a tool to assist ophthalmologists in diagnosing hypertensive retinopathy, while the final decision remains with the expert or ophthalmologist.

Face Recognition for Personal Data Collection using Eigenface, Support Vector Machine, and Viola Jones Method Mardedi, Lalu Zazuli Azhar; Zulfikri, Muhammad; Syahrir, Moch.; Latif, Kurniadin Abd.; Apriani, Apriani
Sistemasi: Jurnal Sistem Informasi Vol 14, No 1 (2025): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v14i1.4728

Personal data recording through facial recognition is a modern solution for individual identification; however, the main challenge lies in the accuracy and reliability of the system under various conditions. This study examines the implementation of machine learning as a solution, utilizing video and photo data for face detection and recognition. The study’s goal is to evaluate the effectiveness of facial image recognition by combining several methods, aiming for practical application across diverse settings, such as offices and schools. The methodology includes segmentation testing for edge detection, feature extraction, and real-time recognition. The system was developed using Eigenface, Support Vector Machine, and Viola-Jones methods, trained over 20 sessions. The results indicate that the system can recognize faces under both daytime and nighttime conditions, achieving 87% accuracy during the day and 81% at night. These findings make a significant contribution to the development of security systems based on facial recognition and emphasize the potential of this technology to enhance personal data security across various contexts

Pemberdayaan Kelompok Wanita Tani Kaki Rinjani Melalui Pelatihan Pengolahan Basah Kopi Di Desa Batukliang Utara Kabupaten Lombok Tengah NTB Arzani, Lalu Danu Prima; Nalurita, Indah; Zulfikri, Muhammad
Jurnal Pengabdian Masyarakat Indonesia Vol 5 No 3 (2025): JPMI - Juni 2025
Publisher : CV Infinite Corporation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jpmi.3480

Kelompok Wanita Tani (KWT) Kaki Rinjani Desa Karang Sidemen merupakan salah satu kelompok produktif yang mengolah kopi untuk kegiatannya. Penanganan pascapanen kopi yang dilakukan oleh KWT adalah teknik rompes tanpa melakukan pemilahan dan dengan pengolahan kering. Hal ini mengakibatkan melimpahnya limbah kulit kopi yang tidak termanfaatkan. Tujuan dari kegiatan ini adalah untuk meningkatkan pengetahuan anggota KWT terkait pengolahan kopi melalui kegiatan sosialisasi dan bimbingan teknis. Metode yang dilakukan adalah sosialisasi dan bimbingan teknis yang terdiri dari empat tahapan yaitu persiapan, sosialisasi, bimbingan teknis dan evaluasi. Kegiatan ini mampu memberikan peningkatan pengetahuan anggota KWT mengenai pengolahan kopi, teh kulit kopi dan kerusakan pada produk biji kopi. Berdasarkan hasil evaluasi melalui kuisioner pre-test dan post test terjadi penurunan level pengetahuan “tidak tahu” dari 69.7% menjadi 12.65% dan peningkatan level pengetahuan “sangat tahu” dari 0.61% menjadi 12.65%. Berdasarkan hasil sosialisasi dan bimbingan teknis, pengolahan basah mampu menurunkan kadar air biji kopi hingga 12–13% (memenuhi standar mutu yang baik) dalam waktu pengeringan 14 hari, dibandingkan pengolahan kering yang masih di kisaran 15–16%. Selain itu, kenampakan biji kopi hasil pengolahan basah lebih baik dan seragam, sedangkan biji hasil pengolahan kering cenderung lebih gelap dengan bentuk lebih sempurna akibat pengupasan kulitnya.

Implementasi Perangkat Lunak Deteksi Penyakit Retinopati Hipertensi Di Polimata Rumah Sakit Umum Provinsi Nusa Tenggara Barat Triwijoyo, Bambang Krismono; Adil, Ahmat; Zulfikri, Muhammad; Widyawati, Lilik; Miswaty, Titik Ceriyani; Patty, Elyakim Nova Supriyedi
Jurnal Pengabdian Pada Masyarakat IPTEKS Vol. 2 No. 1: Jurnal Pengabdian Pada Masyarakat IPTEKS, Desember 2024
Publisher : CV. Global Cendekia Inti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.71094/jppmi.v2i1.71

Hypertensive retinopathy is a type of eye disease where microvascular changes occur in the retina experienced by high blood pressure sufferers. The arterial and venous ratio (AVR) in the retina of the eye is an indicator used to determine the presence of high blood pressure, which is measured by the ratio of the width of the retinal arteries and veins. Traditionally, ophthalmologists use fundus images or retinal images of the eye to diagnose hypertensive retinopathy's physical symptoms and determine the phase of evolution. Still, traditional methods have limitations because, in the case of borderline stages, the early symptoms of hypertensive retinopathy will be difficult to identify manually, so they are often ignored. Referring to these problems, early diagnosis is needed for accurate prevention and treatment of hypertensive retinopathy. Based on the abovementioned issues, this service activity aims to implement a hypertensive retinopathy disease detection model using a local dataset from a regional general hospital in West Nusa Tenggara (NTB). It will compare the model detection results with those of three eye disease experts. Classification model testing results using the Messidor training and NTB Regional Hospital datasets. In models using the Messidor training dataset, the highest accuracy is a comparison with the results of the most senior expert's observations. The results of the classification model are only a tool to assist ophthalmologists in diagnosing hypertensive retinopathy, while the final decision remains with the expert or ophthalmologist.

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