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All Journal Jurnal Pekommas Journal of Information System Sistemasi: Jurnal Sistem Informasi Jurnal Infomedia Kumawula: Jurnal Pengabdian Kepada Masyarakat Jurnal Teknologi Informasi dan Multimedia Jurnal Pengabdian UNDIKMA Jurnal Teknik Ilmu dan Aplikasi Jurnal Informatika Polinema (JIP)
Habibie Ed Dien
Politeknik Negeri Malang
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WORKSHOP OPTIMALISASI DIGITAL MARKETING UNTUK PELAKU UMKM PADA LAPAK BERKAH PKK, DI DESA TOYOMARTO SINGOSARI, KABUPATEN MALANG Ariadi Retno Tri Hayati Ririd; Candra Bella Vista; Wilda Imama Sabilla; Habibie Ed Dien; Rosa Andrie Asmara
Kumawula: Jurnal Pengabdian Kepada Masyarakat Vol 5, No 1 (2022): Kumawula: Jurnal Pengabdian Kepada Masyarakat
Publisher : Universitas Padjadjaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24198/kumawula.v5i1.36115

Abstract

Digital marketing (pemasaran digital) menjadi hal yang diperlukan untuk sebuah usaha untuk menjangkau pasar yang lebih luas. Terlebih lagi di masa pandemi, penggunaan media digital dalam memasarkan produk penting untuk mempertahankan penjualan yang mulai beralih ke sistem daring. Kelompok UMKM di Lapak Berkah PKK Desa Toyomarto merupakan salah satu dari pelaku UMKM yang tergolong belum maksimal dalam pemanfaatan media internet sebagai sarana promosi dan pemasaran produknya. Padahal tantangan terbesar yang dihadapi oleh UMKM adalah terkait dengan inovasi produk dan cara pemasaran yang efektif. Workshop optimalisasi digital marketing disampaikan ke mitra dengan materi copywriting dan pembuatan desain pemasaran produk. Copywriting merupakan keterampilan menulis naskah iklan untuk menarik minat konsumen terhadap suatu produk. Kemampuan copywriting dalam pemasaran digital juga menjadi satu aspek penunjang yang sangat penting. Selain itu pembuatan desain pemasaran produk akan menambah daya tarik produk untuk memperoleh lebih banyak konsumen. Diharapkan kelompok UMKM di Lapak Berkah PKK Desa Toyomarto mendapatkan manfaat dari meningkatnya kualitas pengetahuan dan penguasaan sumber daya manusia dalam penggunaan teknologi informasi dalam mengoptimalkan pemasaran digital.
Sistem Informasi Multiplatform Repositori Data Dosen Berbasis React Menggunakan Framework Kanban Habibie Ed Dien; Putra Prima Arhandi; Aditya Eka P.; Deby Silvia A.
JOINS (Journal of Information System) Vol 6 No 1 (2021): Edisi Mei 2021
Publisher : Fakultas Ilmu Komputer, Universitas Dian Nuswantoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (2382.605 KB) | DOI: 10.33633/joins.v6i1.4543

Abstract

Dosen adalah seorang pendidik profesional yang mengemban tugas tridharma perguruan tinggi. Luaran yang dihasilkan dari tugas tridharma seperti pendidikan dan pengajaran, penelitian, dan pengabdian tiap dosen memiliki data atau dokumen penting yang sangat banyak demi jenjang karirnya. Oleh karena itu, pengembangan sistem informasi untuk memanajemen data tersebut adalah hal yang sangat penting. Salah satu solusinya adalah sistem repositori. Aplikasi multiplatform repositori dosen berbasis React adalah sebuah sistem informasi repositori yang dibangun untuk mengelola data-data dosen Jurusan Teknologi Informasi (JTI), Politeknik Negeri Malang yang meliputi biodata, kepangkatan, pendidikan, penelitian, pengajaran, pengabdian, sertifkasi, dan data rekam jejak mengikuti pelatihan. Hasil penelitian ini berupa aplikasi android dan web yang dibangun dengan kerangka kerja React menggunakan bahasa pemrograman TypeScript. Jenis pengguna aplikasi ini terdiri dari administrator dan dosen-dosen JTI. Pengujian aplikasi versi web dan android dilakukan pada berbagai perangkat dengan hasil dapat beroperasi dengan baik.
Genetic Grouping Algorithm based on Rank and Research Group for Timetabling Thesis Examination Habibie Ed Dien; M. Hasyim Ratsanjani; Andhika Satrio Wiratama; Vit Zuraida
Sistemasi: Jurnal Sistem Informasi Vol 12, No 2 (2023): 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.v12i2.2394

Abstract

Timetabling is a common problem faced by various academic institutions, especially in the process of timetabling thesis examination. In the process of timetabling thesis examination there are several problems that arise, namely the problem of determining examiners and their order, arranging space and time slots, which makes the timetabling process inefficient. This problem will be solved by using a genetic grouping algorithm (GGA) combined with the parameters of rank and research groups (RG), which have proven to be efficient to use to solve problems such as in the thesis exam timetabling process. The results showed that GGA with ran and RG succeeded in increasing efficiency by 99,97% when applied to solving this problem in the thesis exam timetabling process.
Aplikasi Pemantauan dan Peringatan Dini untuk Energi Baru Terbarukan Berbasis Android dengan Restful Api (Studi Kasus Kajian EBT Polinema dan PT. PLN Yuniari, Nilam; Ed Dien, Habibie; Ariyanto, Rudy
Jurnal Teknik Ilmu dan Aplikasi Vol. 5 No. 1 (2024): Jurnal Teknik Ilmu dan Aplikasi
Publisher : Politeknik Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33795/jtia.v5i1.3238

Abstract

Renewable energy sources are environmentally friendly energy sources, because they do not cause environmental changes and do not cause climate change and global warming. Due to the influence of astronomy and geography, Indonesia is a country that is rich in potential new and renewable energy sources such as geothermal energy, solar, water, wind, marine and bioenergy. In the context of providing sustainable electricity, PT. PLN is collaborating with the Malang State Polytechnic to increase the use of renewable energy to become a power plant that utilizes kinetic energy and solar energy. In the development process, monitoring of power plants is currently still done manually. Monitoring the condition of power plants will be more effective and efficient if it is done automatically. Technological trends that support these applications are now starting to increase, especially on smartphones with the Android operating system. From a standalone application, it has now turned into an application that can be connected to other applications using a global network known as Restful API and is integrated with Internet of Things (IoT) technology which can monitor the condition of generators in real time and provide emergency information. Therefore, there is a need for applications that can assist in the process of developing power plants that can monitor and provide early warning notifications. The system designed and implemented uses a MySQL database and the Java programming language in the Android Studio application. From the test results using a Likert Scale, a feasibility percentage of 86.5% of users stated that the application was in accordance with its function and was able to make it easier for users, namely admins, operators, stakeholders, asset managers, project owners and PLN in monitoring EBT generators.
Analisis Klasterisasi Patok Jalan Berbasis Geospasial Menggunakan K-Means dan Evaluasi Davies-Bouldin Dien, Habibie Ed; Ratsanjani, M. Hasyim; Saputra, Agung Adi; Noprianto; Ririd, Ariadi Retno Tri Hayati; Nugraha, Bagas Satya Dian
Jurnal Pekommas Vol 9 No 2 (2024): Desember 2024
Publisher : Sekolah Tinggi Multi Media “MMTC” Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56873/jpkm.v9i2.5471

Abstract

Geographic Information System (GIS) has become a very important tool for spatial analysis and decision making in various fields. In this paper, the analysis process of grouping Kilometer Hectometer (KM/HM) road milestones use the K-Means method in the context of GIS. The KM/HM road milestones are road equipment made of concrete or signboards equipped with texts containing information about the distance and the name of the city to be traveled by road users. The length of the road that has such a long distance will make it difficult to maintain and to manage the road milestones that are scattered throughout the road. Currently, the process of mapping the location of the road milestones is still being carried out using the conventional method, in which the survey officer records the data on paper and measures it with the vehicle's odometer. However, this method often causes data loss, errors in determining the location, and lacks photographic evidence as a reference for assessing the condition of the road milestones. The role of GIS for survey officers is to map the road milestones and to visualize the road milestone data. The main objective is to gain meaningful insights from the spatial distribution of these road milestones, which will assist in better navigation and infrastructure planning. The K-Means method separates clusters from KM/HM road milestones which are identified based on geographical proximity. To assess the quality of these clusters, the evaluation is conducted using the Davies-Bouldin index (DBI) which provides a quantitative measure of inter-group similarity and within-group dissimilarity. For officers, it can be useful to find location points for the road milestones that have high damage conditions to prioritize to be repaired first. Based on the test results using DBI, it produces a value close to zero, which is equal to 0.1656, indicating that the clusters formed have very good quality.
Pelatihan Pemasaran Digital melalui Pemanfaatan Aplikasi Online Marketplace bagi UMKM di Lapak Berkah PKK Singosari Malang Habibie Ed Dien; Candra Bella Vista; Wilda Imama Sabilla; Vit Zuraida; Ariadi Retno Tri Hayati Ririd
Jurnal Pengabdian UNDIKMA Vol. 3 No. 3 (2022): November
Publisher : LPPM Universitas Pendidikan Mandalika (UNDIKMA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33394/jpu.v3i3.6030

Abstract

The purpose of this service activity is to increase knowledge and skills for Micro, Small, and Medium Enterprises (UMKM) actors to be able to do digital marketing through online marketplace applications. The service method uses training with partners, namely the UMKM Blessing PKK in Toyomarto Village, Singosari District, Malang Regency. This service evaluation instrument uses a questionnaire. The data analysis technique used a descriptive technique. The result of this community service shows that the training activities carried out are in accordance with the objectives to be achieved, namely providing an understanding of digital marketing and the ability to use online marketplace applications, so as to optimize product marketing for UMKM actors.
Analysis of LoRa with LoRaWAN Technology Indoors in Polytechnic of Malang Environment Noprianto, Noprianto; Dien, Habibie Ed; Ratsanjani, M. Hasyim; Hendrawan, Muhammad Afif
Sistemasi: Jurnal Sistem Informasi Vol 13, No 2 (2024): 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.v13i2.3884

Abstract

Technology is one of the fields heavily influenced by rapid developments, undergoing significant changes each year. One of the technologies affected is data transmission. Data transmission faces its own challenges, and each region encounters different constraints in their connections, such as the distance of data delivery. In this regard, expanding the data delivery range is crucial to optimize connections and system performance. The use of LoRaWAN for sensor monitoring in IoT devices is designed to transmit data over a wide area with low power consumption and long-term usability, thus overcoming these issues. Data collection in this study utilizes the technique of measuring RSSI (Received Signal Strength Indicator), SNR (Signal-to-Noise Ratio), and LoRa's time interval, considering distance and location parameters at Politeknik Negeri Malang and its surrounding areas. Locations chosen include each floor of the Civil Engineering building to obtain data parameters like RSSI, SNR, and time intervals, which improve when the distance between the transmitting LoRa node and the LoRa gateway gets closer. After conducting tests, it was found that using a 35 dBi antenna outperforms a 10 dBi antenna in data transmission. This was evidenced by the RSSI values approaching 0 from floor 8 to 1 in the Civil Engineering building of Politeknik Negeri Malang. Additionally, the use of a 35 dBi antenna resulted in a 50% faster data transmission compared to the 10 dBi antenna. LoRaWAN technology, particularly The Things Network, can be employed to manage LoRa. However, similar technologies like Chripstack can also be used to manage LoRaWAN more flexibly on the local network
Pengembangan Mesh Network Sebagai Ekspansi Protokol LoRaWAN di Politeknik Negeri Malang Noprianto Noprianto; Reynaldi Fakhri Pratama; Habibie Ed Dien; Muhammad Hasyim Ratsanjani; Muhammad Afif Hendrawan
Jurnal Teknologi Informasi dan Multimedia Vol. 6 No. 3 (2024): November
Publisher : Sekawan Institut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35746/jtim.v6i3.594

Abstract

In realizing a smart campus, Politeknik Negeri Malang (Polinema) has implemented digital technology in its learning and administrative processes with the goal of improving efficiency, speed, and operational ease. One of the key areas being developed is the Internet of Things (IoT), which is expected to function autonomously to support various campus activities. However, the main challenges in IoT implementation are the limitations in communication range and device power consumption, which cause issues in sensor and actuator data transmission, especially when data cannot be optimally received between nodes. To address these challenges, Polinema is ex-ploring the application of LoRaWAN technology. Although LoRaWAN is effective, it experiences a decline in data transmission quality when the sender and receiver are located in multi-story buildings, which can lead to delays, packet loss, or other disruptions. As a solution, the use of a Mesh Network is proposed to enhance the range and stability of data transmission. This study collected data using RSSI, SNR, and delay parameters in the civil engineering building at Polinema, with sensor data visualized through Grafana. The results show that the system can be well-integrated without conflicts between WiFi and LoRa. The average transmission time was approximately 29 seconds, with no packet loss detected. Additionally, changing the transmission method to confirmed uplink was necessary to maintain data integrity, while adjusting transmis-sion intervals was crucial to avoid scheduling issues. These findings indicate that implementing a Mesh Network as an extension of the LoRaWAN protocol can significantly improve the perfor-mance of IoT systems in Polinema’s indoor environment.
Integrasi Mekanisme Portion-Based Balancing dalam Pengelolaan Pembimbing dan Penguji Skripsi di Sistem Manajemen Tugas Akhir Jurusan Teknologi Informasi Zawaruddin Abdullah, Moch; Rosa Andrie Asmara; Yoppy Yunhasnawa; Habibie Ed Dien
Jurnal Informatika Polinema Vol. 12 No. 2 (2026): Vol. 12 No. 2 (2026)
Publisher : UPT P2M State Polytechnic of Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33795/jip.v12i2.9218

Abstract

Sistem Manajemen Tugas Akhir (SIMTA) di Jurusan Teknologi Informasi berperan penting dalam pengelolaan tugas akhir atau skripsi mahasiswa. Seiring dengan peningkatan jumlah mahasiswa, distribusi beban kerja dosen pembimbing dan penguji menjadi tantangan yang semakin kompleks. Artikel ini mengusulkan integrasi mekanisme Portion-Based Balancing dalam fitur pengusulan pembimbing dan penguji skripsi untuk meningkatkan keadilan dan efisiensi distribusi beban kerja dosen. Penelitian ini menggunakan pendekatan kuasi-eksperimen dengan pengujian sistem pada beberapa skenario pembagian beban kerja. Hasilnya menunjukkan bahwa mekanisme yang diusulkan tidak hanya meningkatkan pemerataan beban kerja, tetapi juga memperbaiki transparansi dan akurasi dalam proses pengusulan. Integrasi ini diharapkan dapat diterapkan lebih luas di institusi pendidikan lain untuk meningkatkan kualitas bimbingan dan penilaian tugas akhir.
Penentuan Learning Rate Terbaik CNN Pada Pengenalan Individu Berbasis Analisis Gait Septian Enggar Sukmana; Deasy Sandhya Elya Ikawati; Habibie Ed Dien; Ashafidz Fauzan Dianta
JOINS (Journal of Information System) Vol 8 No 1 (2023): Edisi Mei 2023
Publisher : Fakultas Ilmu Komputer, Universitas Dian Nuswantoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33633/joins.v8i1.7806

Abstract

Trayektori tubuh manusia untuk analisis gait tidak terbatas pada kondisi permukaan medan yang rata. Hal ini berpengaruh pada analisis gait untuk penelitian pengenalan identitas individu yang terkait dengan kondisi medan yang dilalui. Pergelangan kaki menjadi bagian tubuh yang berkontribusi pada trayektori tubuh manusia terhadap medan yang dilalui melalui dua kondisi yaitu Heel-Strike (HS) dan Toe-Off (TO). HS dan TO memiliki pola trayektori yang saling berbeda untuk setiap individu sehingga membutuhkan penentuan parameter learning rate yang tepat. Penentuan learning rate terbaik merupakan salah satu langkah penting dalam menghasilkan pengenalan identitas individu terbaik. Pada kegiatan penelitian ini, data yang digunakan adalah data berformat C3D yang direkam melalui perangkat motion capture dengan skenario berjalan lurus (WS/Walking Straight) oleh enam orang sebagai partisipan. Penentuan learning rate terbaik menggunakan metode convolutional neural network (CNN) dengan pretrain pembanding adalah ResNet18 dan ResNet50. Percobaan yang dilakukan menghasilkan performa terbaik diperoleh ResNet18 baik pada pengukuran Average Position (AP) maupun pendeteksian kondisi HS dan TO.
Co-Authors Aditya Eka P. Andhika Satrio Wiratama Ariadi Retno Tri Hayati Ririd Ashafidz Fauzan Dianta Atsilah Amany Bagas Satya Dian Nugraha Candra Bella Vista Deasy Sandhya Elya Ikawati Deby Silvia A. Desi Karmila Louise Nazarossa Lyra Faiqah Bilqis M Hasyim Ratsanjani Moch Zawaruddin Abdullah Muhammad Afif Hendrawan Noprianto Putra Prima Arhandi Qusnul Diah Reynaldi Fakhri Pratama Rosa Andrie Asmara Rudy Ariyanto Saputra, Agung Adi Septian Enggar Sukmana Vit Zuraida Wilda Imama Sabilla Yoppy Yunhasnawa Yuniari, Nilam