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Sistem Informasi Penjualan Produk Pertanian Pada Toko Triputri Aeknabara Berbasis Web Indry Rizza; Zaitun Ritonga; Dedi Naingolan; Irmayanti Irmayanti; Syaiful Zuhri Harahap
Journal of Student Development Informatics Management (JoSDIM) Vol 1, No 1: JoSDIM | Januari 2021
Publisher : Universitas Labuhanbatu

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (754.958 KB) | DOI: 10.36987/josdim.v1i1.2178

Abstract

Website ini nantinya diharapkan dapat mempermudah pencarianData oleh toko Triputri Aeknabara, mempermudah dalam melihat hasil penjualan dan stok, dan mampu mencakup dunia pasar yang sangat luas dari sebelumnya.Sekaligus sebagai salah satu syarat untuk menempuh Ujian Sidang Tugas Akhir Pada Akademi Manajemen Informatika Komputer (AMIK ) Labuhan Batu. Adapun Bahasa Pemograman yang digunakan dalam pembuatan Sistem yang dimaksud adalah Menggunakan PHP dan MySQL.Aplikasi Pembuatan databasenya menggunakan MySQL, Localhost Phpmyadmin. Penyusunan Tugas Akhir ini dimulai dengan Merumuskan masalah, Mengidentifikasi masalah, Penentuan Tujuan dan Manfaat dalam Mengumpulkan data dari instansi, dan menjelaskan bagaimana proses penjualan yang berlangsung,. Setelah semua data yang di butuhkan di dapatkan, maka dilanjutkan ke Proses Analisis Sistem.Hasil dari pembuatan program yakni ditujukan dengan Terselesaikannya Sistem Informasi Penjualan Produk Pertanian Pada Toko Triputri Aeknabara Berbasis Web. Semoga dengan adanya sistem penjualan ini, dapat meningkatkan Kinerja dalam proses penginputan dan pencarian data penjualan serta proses pemasaran dari pada toko Triputri.
SISTEM INFORMASI PENJUALAN KERIPIK MENTARI DESA PERLABIAN LOHSARI 1 BERBASI WEB Lili Marliani; Mei Lia Dani Harahap; Syaiful Zuhri Harahap
Journal of Student Development Informatics Management (JoSDIM) Vol 1, No 1: JoSDIM | Januari 2021
Publisher : Universitas Labuhanbatu

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (639.657 KB) | DOI: 10.36987/josdim.v1i1.2176

Abstract

Keripik Mentari adalah produk rumahan atau disebut juga Home Industri yang bergerak dalam bidang makanan ringan seperti macam-macam jenis keripik dan kerupuk. Mentari sendiri terletak di Desa Kampung Perlabian Lohsari 1 Kecamatan Kampung Rakyat Labuhanbatu Selatan Provinsi Sumatera Utara. Di dirikan sejak tahun 2010 oleh Bapak Marlan beserta keluarga. Mentari yang selama ini masih melakukan penjualan secara manual, karena kurangnya akses informasi mengenaikeripik mentari. Oleh karena itu dibutuhkan sistem informasi dan media yang dapat mengatasi permasalahan ini. Berdasarkan masalah tersebut, maka tujuan penelitian adalah membuat media sistem informasi penjualan dengan menggunakan website untuk menjadi media promosi, dan dibuat menggunakan boostrap agar mudah di buka pada segala ukuran browser. Dengan di buatnya program dengan Bahasa pemrograman PHP dan metode wawancara dan observasi, diharapkan dapat memudahkan promosi, penjualan, serta memperluas pemasaran.
SISTEM INFORMASI PENJUALAN OBAT PADA TOKO OBAT ANUGERAH RANTAUPRAPAT BERBASIS WEB Nurwahyunita Nurwahyunita; Iin Kurniawati Dewi; Syaiful Zuhri Harahap
Journal of Student Development Informatics Management (JoSDIM) Vol 1, No 1: JoSDIM | Januari 2021
Publisher : Universitas Labuhanbatu

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (497.182 KB) | DOI: 10.36987/josdim.v1i1.2177

Abstract

Website ini nantinya diharapkan dapat mempermudah pencarianData di Toko Obat Anugerah, mempermudah dalam melihat hasil penjualan dan stok, dan mampu mencakup dunia pasar yang sangat luas dari sebelumnya.Sekaligus sebagai salah satu syarat untuk menempuh Ujian Sidang Tugas Akhir Pada Akademi Manajemen Informatika Komputer (AMIK ) Labuhan Batu. Adapun Bahasa Pemograman yang digunakan dalam pembuatan Sistem yang dimaksud adalah Menggunakan PHP dan MySQL.Aplikasi Pembuatan databasenya menggunakan MySQL, Localhost Phpmyadmin. Penyusunan Tugas Akhir ini dimulai dengan Merumuskan masalah, Mengidentifikasi masalah, Penentuan Tujuan dan Manfaat dalam Mengumpulkan data dari instansi, dan menjelaskan bagaimana proses penjualan yang berlangsung,. Setelah semua data yang di butuhkan di dapatkan, maka dilanjutkan ke Proses Analisis Sistem.Hasil dari pembuatan program yakni ditujukan dengan Terselesaikannya Sistem Informasi Penjualan Obat pada Toko Obat Anugerah Berbasis Web. Semoga dengan adanya sistem penjualan ini, dapat meningkatkan Kinerja dalam proses penginputan dan pencarian data penjualan serta proses pemasaran dari Toko Obat Anugerah Rantauprapat.
Sistem Informasi Penjualan Sparepart Dan Service Mobil Pada Bengkel Java Auto Service Berbasis Web Gafar Ilyaz JP; Juli Hati Fitri; Syaiful Zuhri Harahap
Journal of Student Development Information System (JoSDIS) Vol 1, No 1: JoSDIS | Januari 2021
Publisher : Universitas Labuhanbatu

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (754.958 KB) | DOI: 10.36987/josdis.v1i1.2200

Abstract

Java Auto Service repairis a business engaged in the sale of spare parts and service Services. In the Java Auto Service Workshop the process of recording and processing spare parts data, the amount, price of spare parts and sales transaction data, as well as service service transaction data is still done by hand writing. To overcome these problems, a web-based system is needed as one of the solutions. For this reason, it is necessary to optimize the use of computers to data processing by designing an information system that is applied to the PHP programming language and mySQL data in order to solve existing problems and be able to answer the needs of the company.The purpose of this study was made to facilitate the owner of the workshop in processing spare parts sales data, service data, sparepart data reports as well as the creation of sales and service transaction notes become faster and more efficient so that it can help increase the profits of the Java Auto Service workshop in running its business.
Sistem Informasi Pendaftaran Calon Jama’ah Haji Pada Kantor Kementrian Agama Labuhan Batu Utara Masitoh Ritonga; Inny Rahayu Rambe; Fasdiansyah Putra; Syaiful Zuhri Harahap
Journal of Student Development Information System (JoSDIS) Vol 1, No 1: JoSDIS | Januari 2021
Publisher : Universitas Labuhanbatu

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1253.274 KB) | DOI: 10.36987/josdis.v1i1.2199

Abstract

In this era of globalization computer is needed in all aspects of life is no exception in Hajj registration.. The same with the development of Information Systems.Whether or not an information depends on the information obtained. If an information produced is incomplete or incorrect, it can be said that decision making will be inappropriate and wrong target. The Office of the Ministry of Religious Affairs as the Ministry of Hajj still has many weaknesses. In addition to requiring a long time in registration, accuracy is also less acceptable.. With the support of information technology that exists today, data processing carried out today can be replaced with a web-based system . The data collection method used is observation, interview, and literature study. The programming used is website programming by using notped++ as an editor with PHP program language and MYSQL as data storage media. This study resulted in the Registration Information System of Hajj pilgrims candidates at the North Labuhan Batu Ministry of religious affairs office. Hopefully with this information system can improve the work process in handling the registration of prospective pilgrims.
Perancangan Aplikasi Panduan Belajar Gerakan Tunarungu Menggunakan Adobe Flash Ratna Juliani Siregar; Syaiful Zuhri Harahap
Jurnal Informatika Vol 10, No 2 (2022): INFORMATIKA
Publisher : Fakultas Sains & Teknologi, Universitas Labuhanbatu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36987/informatika.v10i2.2981

Abstract

Deafness is one type of disability that is quite widely available in Indonesia, either experiencing it congenital or due to other factors where people with this disability experience a lack or loss of hearing ability so that they experience obstacles in language development. Deaf children still have the potential to learn to speak and speak. Therefore, deaf children need special services or media to develop language and speaking skills so as to minimize the impact of deafness experienced. Therefore, parents and teachers are obliged to guide children with hearing impairment to learn sign language. Currently, online education facilities are very attractive for children to learn. In fact, there are many developers who create modules, educational games, learning applications, tutorials, and more on Android. But not so for children with disabilities, especially deaf, Learning media is more likely to facilitate normal children. In fact, the learning materials and curricula of normal schools and special schools are the same, only the form of delivery is different. There are not many learning media for deaf children to learn, only the form of tutorials is limited to the introduction of the alphabet without any facilities to be able to deepen sign language itself. Deaf people need and deserve the same learning media as normal children.
Penyuluhan Membangun Wirausaha Di Desa Tanjung Siram Produk Sabun Cuci Piring Fauziah Hanum; Christine Herawati Limbong; Bhakti Helvi Rambe; Nur Ainun Gulo; Ibnu Rasyid Munthe; Syaiful Zuhri Harahap
JURNAL PKM IKA BINA EN PABOLO Vol 3, No 1: PENGABDIAN KEPADA MASYARAKAT | JANUARI 2023
Publisher : IKA BINA EN PABOLO : PENGABDIAN KEPADA MASYARAKAT

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36987/ikabinaenpabolo.v3i1.3746

Abstract

Kegiatan pengabdian masyarakat di Desa Tanjung Siram dilaksanakan pada tanggal 27 September 2022. Penyuluhan dan pelatihan ini berlangsung di aula kantor kepala desa Tanjung Siram. Peserta meliputi unsur masyarakat desa Tanjung Siram terkhusus kaum ibi-ibu, dosen dan mahasiswa. Kegiatan pengabdian masyarakat ini berjalan dengan baik dan lancar sesuai dengan yang direncanakan, hal ini terlihat dari antusias dan semangat wargaa dalam mengikuti pelatihan Pembuatan sabun pencuci piring. Tujuan dilakukannya pengabdian kepada masyrakat ini adalah untuk memberikan penyuluhan, pelatihan, dan praktek tentang pembuatan sabun pencuci piring dalam rangka membantu warga desa Tanjung Siram dalam menciptakan peluang usaha baru bagi warga serta mengurangi beban pengeluaran   warga dalam melakukan pembelian sabun pencuci piring.  Metode yang digunakan dalam pengabdian kepada masyarakat ini adalah dengan berdiskusi, memaparkan dan mempraktikkan cara pembuatan sabun pencuci piring.
Analisis Pola Tidur Dalam Produktivitas Belajar Menggunakan Algoritma Decision Tree Dan Random Forest Pada Mahasiswa Universitas Labuhanbatu Lisa Ariani; Angga Putra Juledi; Syaiful Zuhri Harahap; Sudi Suryadi
Journal of Computer Science and Information System(JCoInS) Vol 7, No 3: JCoIns | 2026
Publisher : Universitas Labuhanbatu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36987/jcoins.v7i3.9706

Abstract

Sleep patterns are one of the important factors that support cognitive function and students' learning productivity. Irregular sleep habits, insufficient sleep duration, poor sleep quality, and excessive use of gadgets at night can affect students' learning productivity. This study aims to analyze the influence of sleep patterns on the learning productivity of students at Universitas Labuhanbatu using the Decision Tree and Random Forest algorithms, as well as to compare the performance of both algorithms in classification tasks. The variables used in this study consist of Sleep Duration (X1), Sleep Quality (X2), Sleep Time (X3), Sleep Consistency (X4), and Nighttime Gadget Usage (X5) as independent variables, while Learning Productivity (Y) serves as the dependent variable. The research data were collected through questionnaires distributed to 80 students, which were then divided into 50 training data and 30 testing data. Data processing was carried out using the Orange Data Mining application through the stages of data preprocessing, model construction, and model evaluation using the Test and Score method with the evaluation metrics of Area Under Curve (AUC), Classification Accuracy (CA), F1-Score, Precision, Recall, and Matthews Correlation Coefficient (MCC). The results showed that the Decision Tree algorithm achieved an AUC of 0.931, CA of 0.920, F1-Score of 0.921, Precision of 0.925, Recall of 0.920, and MCC of 0.834. Meanwhile, the Random Forest algorithm achieved an AUC of 0.986, CA of 0.920, F1-Score of 0.921, Precision of 0.925, Recall of 0.920, and MCC of 0.834. Based on these results, the Random Forest algorithm demonstrated better performance in terms of the AUC value, making it more suitable for classifying students' learning productivity based on sleep patterns.
Analisis Tingkat Kepuasan Mahasiswa Pada Aplikasi Sistem Informasi Terpadu (SITU) di Universitas Labuhanbatu Menggunakan Metode Naïve Bayes Dan Decision Tree Rista Andini Ritonga; Syaiful Zuhri Harahap; Irmayanti Irmayanti; Angga Putra Juledi
Journal of Computer Science and Information System(JCoInS) Vol 7, No 3: JCoIns | 2026
Publisher : Universitas Labuhanbatu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36987/jcoins.v7i3.9708

Abstract

The Integrated Information System (SITU) is an application used to support various academic services at Universitas Labuhanbatu. The quality of services provided by this application needs to be evaluated to determine the level of student satisfaction as its users. This study aims to analyze student satisfaction with the use of the Integrated Information System (SITU) using the Naïve Bayes and Decision Tree methods. The research applies the Knowledge Discovery in Databases (KDD) process, which consists of Selection, Preprocessing, Transformation, Data Mining, Evaluation, and Interpretation. The research data were collected through questionnaires distributed to 50 students of the Faculty of Science and Technology at Universitas Labuhanbatu. The research variables include System Ease of Use, System Access Speed, Information Accuracy, User Interface, and System Reliability, while the target variable is the student satisfaction level, classified into Satisfied and Dissatisfied categories. The classification process was carried out using Orange Data Mining software and evaluated using a Confusion Matrix. The interpretation results based on 27 testing data showed that the Decision Tree algorithm classified 19 instances as Satisfied and 8 instances as Dissatisfied, while the Naïve Bayes algorithm classified 18 instances as Satisfied and 9 instances as Dissatisfied. Furthermore, the Confusion Matrix evaluation indicated that the Naïve Bayes method achieved a 96.8% prediction accuracy for the Satisfied category, outperforming the Decision Tree method, which achieved 81.6%. Based on these results, the Naïve Bayes method demonstrated superior classification performance in analyzing student satisfaction with the Integrated Information System (SITU). The findings of this study are expected to serve as a reference for Universitas Labuhanbatu in evaluating and improving the quality of services provided through the Integrated Information System (SITU).
Penerapan Algoritma Naïve Bayes Classifier dan Decision Tree untuk Memprediksi Tingkat Kepuasan Pelanggan Teras Coffe Rantauprapat Elfi Zahra Yuni; Syaiful Zuhri Harahap; Ibnu Rasyid Munthe; Angga Putra Juledi
Journal of Computer Science and Information System(JCoInS) Vol 7, No 3: JCoIns | 2026
Publisher : Universitas Labuhanbatu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36987/jcoins.v7i3.9709

Abstract

The increasingly fierce competition in the coffee shop business requires business owners to understand customer satisfaction levels as a basis for improving service quality and maintaining customer loyalty. Therefore, an approach capable of accurately identifying and predicting customer satisfaction levels based on customer data is needed. Data mining is a data processing technique that can be used to discover patterns and important information from data sets to support the decision-making process. In this study, the Naïve Bayes Classifier and Decision Tree algorithms were used because both are classification methods capable of generating predictions based on the characteristics of the data. The research method used was a quantitative method by utilizing Teras Coffee Rantauprapat customer questionnaire data which was then processed using the Orange Data Mining application. The research data was divided into training data and testing data to build and test the classification models generated by both algorithms. The results showed that the Naïve Bayes and Decision Tree algorithms were able to classify customer satisfaction levels into satisfied and dissatisfied categories with a good level of accuracy. Based on the model evaluation results, the Naïve Bayes algorithm obtained superior performance compared to Decision Tree based on higher AUC, Precision, F1-Score, and MCC values. Thus, both algorithms can be applied to predict customer satisfaction levels, but Naïve Bayes proved more optimal in generating predictions on the dataset used in this study. The results of this study are expected to serve as a reference for Teras Coffee Rantauprapat in continuously improving service quality and customer satisfaction.