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Redesign Pitch Deck sebagai Media Presentasi Perusahaan blihape.id Faisal Akbar; Khikmah Susanti; Rukiah, Yayah
Darma Cendekia Vol. 4 No. 1 (2025): Darma Cendekia
Publisher : CV Buana Prisma Sejahtera

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60012/dc.v4i1.142

Abstract

Belihape.id salah satu perusahaan yang berkecimpung di dunia media digital, yang fokus memberikan informasi terkini mengenai teknologi gawai. Salah satu permasalahan utama yang dihadapi adalah kurangnya alat presentasi yang efektif untuk menyampaikan nilai bisnis dan potensi pasar kepada calon pemangku kepentingan. Dalam konteks ini, kebutuhan akan pitch deck yang komprehensif dan menarik menjadi sangat krusial. Kegiatan pengabdian kepada masyarakat ini bertujuan untuk mendesain ulang pitch deck dengan konsep yang baru ini dapat membuat Belihape.Id memperluas jangkauan target audience di seluruh wilayah Jakarta (khususnya) bahkan hingga seluruh Indonesia. Pitch deck adalah presentasi singkat yang dirancang untuk memberikan gambaran menyeluruh tentang bisnis atau proyek kepada calon investor atau mitra (Sugiyono, 2019). Metode yang digunakan pada merancang ulang pitch deck untuk Belihape.id ini terbagi 3 tahapan yaitu tahap 1 perencanaan yang berisikan observasi, wawancara dan pengamatan, tahap 2 persiapan dimana tim mempersiapkan untuk merancang dengan membuat sketsa layout, tight tissue dan merancang. Tahap 3 adalah pelaksanaan dimana desain pitch deck yang baru dengan konsep baru telah selesai dan diserahkan pada Belihape.id. Kegiatan pengabdian kepada masyarakat ini ini menghasilkan bentuk desain ulang pitch deck perusahaan Belihape.id yang digunakan untuk menarik investor pada saat pitching.
IMPLEMENTASI METODE CASE-BASED REASONING UNTUK MENGETAHUI JENIS  GANGGUAN INDIHOME PADA PELANGGAN TELKOM WITEL CIREBON Ade Suryadi; Faisal Akbar; Sergi Roseli; Badrudin Hadibrata
Journal of Computation Science and Artificial Intelligence (JCSAI) Vol. 2 No. 2 (2025): Journal of Computation Science and Artificial Intelligence (JCSAI)
Publisher : PT. Berkah Digital Teknologi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58468/jcsai.v2i2.22

Abstract

Gangguan layanan IndiHome sering terjadi dan memerlukan penanganan cepat. Namun, keterbatasan akses langsung ke teknisi menyebabkan pelanggan mengalami keterlambatan dalam mendapatkan solusi. Sistem pakar berbasis Case-Based Reasoning (CBR) dapat menjadi solusi untuk membantu pelanggan mengidentifikasi jenis gangguan secara mandiri. Penelitian ini bertujuan membangun sistem pakar diagnosis gangguan IndiHome menggunakan metode CBR yang mampu merekomendasikan solusi berdasarkan kemiripan kasus sebelumnya.  Sistem dirancang menggunakan pendekatan CBR dengan empat tahapan utama: Retrieve, Reuse, Revise, dan Retain. Penghitungan kemiripan (similarity) dilakukan menggunakan metrik Jaccard Coefficient, dengan bobot atribut berdasarkan kepentingan gejala. Sistem diimplementasikan berbasis web menggunakan PHP dan MySQL. Validasi dilakukan melalui pengujian terhadap 50 kasus gangguan nyata dari Witel Cirebon.  Hasil pengujian menunjukkan sistem mampu mengidentifikasi jenis gangguan dengan akurasi rata-rata 86%. Kasus dengan nilai similarity tertinggi digunakan sebagai dasar rekomendasi solusi, seperti pemeriksaan kabel fiber, restart modem, atau kontak ke 147. Sistem pakar berbasis CBR terbukti efektif sebagai alat bantu diagnosis awal gangguan IndiHome, memberikan solusi cepat dan akurat bagi pelanggan, serta mengurangi beban layanan pelanggan. Abstract IndiHome service disruptions frequently occur and require prompt handling. However, limited direct access to technicians causes customers to experience delays in obtaining solutions. A Case-Based Reasoning (CBR) expert system can be a solution to help customers independently identify the type of disruption. This study aims to build an expert system for diagnosing IndiHome disruptions using the CBR method that is able to recommend solutions based on the similarity of previous cases. The system is designed using the CBR approach with four main stages: Retrieve, Reuse, Revise, and Retain. Similarity calculations are performed using the Jaccard Coefficient metric, with attribute weights based on the importance of symptoms. The system is implemented web-based using PHP and MySQL. Validation was carried out through testing on 50 real disruption cases from Witel Cirebon. The test results showed the system was able to identify the type of disruption with an average accuracy of 86%. Cases with the highest similarity value were used as the basis for solution recommendations, such as checking the fiber cable, restarting the modem, or contacting 147. The CBR-based expert system has proven effective as an early diagnosis tool for IndiHome disruptions, providing fast and accurate solutions for customers, and reducing the burden on customer service..
Peran Guru Bimbingan dan Konseling Dalam Membentuk dan Meningkatkan Nilai dan Moral Siswa di Sekolah Salimatul Islamiyah; Eka Susanti; Annisa Nurul Fadilah; Amelia Sri Muliani; Melisa Febriani; Dinda Aulia; Bunaisah Saragih; Fitri Nurazizah; Faisal Akbar; Rizky Ramadhan Damanik
JURNAL PENDIDIKAN DAN ILMU SOSIAL (JUPENDIS) Vol. 2 No. 3 (2024): JULI : JURNAL PENDIDIKAN DAN ILMU SOSIAL
Publisher : Institut Teknologi dan Bisnis (ITB) Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54066/jupendis.v2i3.2019

Abstract

His study examines the role of guidance and counseling teachers in shaping and improving student values and morals in school. The study aims to investigate the impact of guidance and counseling on students' moral development and the strategies used by teachers to promote moral values. The research employed a mixed-methods approach, combining both quantitative and qualitative data collection and analysis methods. The results show that guidance and counseling teachers play a significant role in fostering moral values and ethics among students. The study highlights the importance of teacher-student relationships, classroom management, and the use of various teaching strategies in promoting moral development. The findings also suggest that guidance and counseling teachers should be equipped with the necessary skills and resources to effectively address the moral needs of students. The study concludes that the role of guidance and counseling teachers in forming and enhancing student values and morals is crucial in creating a positive and supportive learning environment.
Development of GWIDO: An Augmented Reality-based Mobile Application for Historical Tourism Faisal Akbar; Hadiyanto, Hadiyanto; Catur Edi Widodo
Register: Jurnal Ilmiah Teknologi Sistem Informasi Vol 10 No 1 (2024): January
Publisher : Information Systems - Universitas Pesantren Tinggi Darul Ulum

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26594/register.v10i1.3439

Abstract

This research aimed to design and reconstruct a business model for an augmented reality (AR) camera mobile application for historical tourism at Keraton Kasepuhan Cirebon. The goal was to utilize AR technology to provide an immersive and informative experience for tourists. The research addressed several main problems, including navigation and historical information through object tracking, by implementing an online application with features such as Indonesian and English language instructions to better serve domestic and foreign tourists. The research also aimed to investigate the benefits of using AR technology for object tracking and navigation and to explore how these aspects could be related to creating a formula that supports each other in addressing the formulated problems. Through the development of the GWIDO application, a positive impact on the development of historical tourist attractions was observed. This can be seen from the usefulness of its features such as AR navigation, which can be used as a virtual guide. The data collected was used to design and reconstruct the business model, which was implemented and tested to collect additional data for analysis. The final results of the research showed that the AR camera mobile application was effective in providing an immersive and informative experience for tourists. The redesigned business model improved the utilization of AR technology in the tourism industry. Based on the test results, the average response time for object distance between 0.1 meters to 0.5 meters was between 1.45 to 2.07 seconds, and the average time for object distance from visitors was between 3.15 to 4.71 seconds with a confidence level of 95%. Meanwhile, testing for navigation features using augmented reality is very dependent on the internet signal used on the user's device. The level of accuracy of objects that have been placed at certain coordinates is determined by how well the internet network performs, allowing objects to appear precisely according to their coordinates.
Implementasi Algoritma Frequent Pattern-Growth Pola Pembelian Pada Koperasi Kartika Jati Manunggal Faisal Akbar; Qori Khoirun Nisa; Kosim
INFOKOM Vol. 16 No. 1 (2023): JURNAL INFOKOM
Publisher : STIKOM POLTEK CIREBON

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Abstract

Companies have realized how important it is to have a database to face business competition, namely a database system that is reliable and integrated with all parts of the company. One of the data that plays an important role in supporting product analysis, namely customer purchasing patterns. Customer purchasing patterns are important to be able to know the relationship between one product and another. If this pattern has been formed and known, it will greatly help business managers to maintain stocks of goods that are selling well so that they remain available and not empty which can result in the company losing sales opportunities. Transaction data becomes an object to be processed using data mining applications. The data mining method used is association rule mining to find patterns of interrelationships between items, while the algorithm used is the Frequent Pattern Growth (FP-Growth) algorithm. This algorithm applies a tree data structure to determine purchase patterns. The pattern is determined by two parameters, namely support and confidence. The result is a support value obtained of 25% and a confidence value of 100% if the consumer has Pulpy orange 300 ml, the consumer will buy Hydro coco ori. In addition, the support value is 17% and the confidence value is 100% if consumers buy other drinks. The application of the FP-Growth algorithm can help determine what products must be available and assist in managing stock items
Implementasi Simple Multi Attribute Rating Technique Untuk Menentukan Lokasi Usaha Waralaba Ilman Kadori; Abdul Rasyid; Faisal Akbar
INFOKOM Vol. 16 No. 1 (2023): JURNAL INFOKOM
Publisher : STIKOM POLTEK CIREBON

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Abstract

Groceries shops, rice stalls, cake shops, shoe shops and mini markets are various types of businesses built by entrepreneurs. Franchise minimarkets are a case study taken in this research because business competition is becoming increasingly fierce and competitive. The lack of experience and knowledge of entrepreneurs, the number of competitors, business support, crowd centers, population density, parking lots, community income and road access and the difficulty of determining the right business location are the causes of the business not developing. One of the successes of a franchise business is influenced by the accuracy in choosing a business location. A strategic business location will determine the number of consumers and profits that have the potential to increase. The method used in this decision support system is the Simple Multi Attribute Rating Technique (SMART), which is a multi-attribute decision-making method. SMART is a comprehensive decision-making model taking into account qualitative and quantitative matters. In this SMART decision-making model, it basically tries to cover every shortcoming of the previous non-computerized models.
Algoritma AES128-CBC untuk Enkripsi dan Deskripsi Berkas Dokumen PT. XYZ Yalson Cahaya Pratama; Faisal Akbar; Wahyu Ariandi
INFOKOM Vol. 16 No. 1 (2023): JURNAL INFOKOM
Publisher : STIKOM POLTEK CIREBON

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Abstract

Data and information security transport system is an important thing for prevent information leak and fallen to unaccountable person. Method for securing that, is such as watermaking, steganography, cryptography, and digital signature. As company, PT. XYZ has very important data for secured, because they had data conceded in form of document file such as spreadsheet as that file has changed from mischiveous worker so that data file is not matched with per periode report from IT Staff there. File security system that used is AES128-CBC, that means Adcanced Encryption Standard algorithm with 128 bit length key, with cipher block mode Cipher Block Chaining. AES128-CBC is a cipher block mode for AES in between other modes such as ECB, OFB, CFB, CTR, and XTS. Encrypting process on AES-CBC starting from CBC process first for scrambling input (plaintext) and then processed in an AES algorithm, and decrypting process is reversed that encrypting process when processing AES first and then that AES decrypted result scrambling in CBC process, then that process is final result. It is expected securing document file implemetation can protect document that PT. XYZ owned from conceding and unexpected changing from unaccountable person
Implementasi Metode Monte Carlo Untuk Memprediksi Permintaan Produk Mebel Pada CV. Yoss Sindanglaut Faisal Akbar; Faizal Anwar; Susi Widyastuti
INFOKOM Vol. 16 No. 1 (2023): JURNAL INFOKOM
Publisher : STIKOM POLTEK CIREBON

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Abstract

One of the problems experienced by entrepreneurs is unpreparedness when the demand for goods is higher than the existing supply. To overcome this problem, a demand prediction application is needed by analyzing data on goods sales transactions that have occurred so that a conclusion can be drawn about predicting the number of requests in the future. This study aims to create a system for calculating demand predictions and the number of web-based automatic sales by applying the Monte Carlo algorithm. The Monte Carlo algorithm is also known as simulated sampling or a sampling technique using a simulation model that includes taking random values ​​and calculating the probability distribution of the data to produce predictive data with a high percentage of similarity. This research was conducted on CV. Yoss Sindanglaut. The results of this study use different data to make predictions, namely sales data for one week, one month, and the previous two months. The result is the CV monte carlo method. Yoss Sindanglaut can predict the demand for furniture products as many as 14 requests for April 2022 with a profit of 4,900,000 and an error value of 12.5%.
ANALISIS METODE MABAC DAN WP UNTUK MENENTUKAN PRIORITAS PEMBINAAN IKM SEKTOR MAKANAN Cecep Nur Cahyadi; Faisal Akbar; Fahmi
INFOKOM Vol. 17 No. 1 (2024): JURNAL INFOKOM STIKOM POLTEK CIREBON
Publisher : STIKOM POLTEK CIREBON

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Abstract

Industri Kecil dan Menengah (IKM) merupakan bagian dari ekonomi yang terdiri dari perusahaan dengan skala kecil hingga menengah. Salah satu sektor IKM yang penting adalah industri makanan, yang melibatkan proses produksi, pengolahan, distribusi, dan penjualan makanan. Industri ini memiliki peran signifikan dalam aspek ekonomi, kesehatan, dan kesejahteraan masyarakat. Meskipun begitu, industri makanan menghadapi sejumlah masalah yang dapat menghambat perkembangannya di masa depan, seperti tantangan dalam meningkatkan kualitas produksi, konsumsi, dan aspek legalitas perizinan. Dinas Perdagangan dan Perindustrian Kabupaten Majalengka berkomitmen untuk meningkatkan sektor IKM melalui program pembinaan IKM, dengan fokus utama pada sektor industri makanan karena banyaknya perusahaan di dalamnya. Namun, penentuan prioritas pembinaan dalam industri makanan seringkali subjektif. Oleh karena itu, penelitian ini berhasil mengatasi permasalahan tersebut dengan analisis perbandingan menggunakan metode MABAC dan WP. Penelitian ini menggunakan 5 kriteria dan 200 data IKM di Kabupaten Majalengka. Setiap data memiliki nilai pada setiap kriteria yang dievaluasi menggunakan metode MABAC dan WP. Hasil analisis menunjukkan bahwa IKM A22 Cilor Uwa memiliki nilai terendah, yaitu -0,091 dalam metode MABAC dan 0,004 dalam metode WP, sehingga diprioritaskan untuk dibina.Dalam perbandingan akurasi dan presentase, metode WP menunjukkan tingkat akurasi sebesar 99,995%, sedangkan metode MABAC sebesar 99,96794%. Hal ini menunjukkan bahwa metode WP lebih relevan, efisien, dan akurat dibandingkan dengan metode MABAC dalam menentukan prioritas pembinaan IKM sektor makanan.
METODE MAXIMUM ENTROPY SELEKSI FITUR INFORMATION GAIN UNTUK ANALISIS SENTIMEN TERHADAP OPINI MAHASISWA TERKAIT IMPLEMENTASI PEMBELAJARAN DARING DI MASA PANDEMI COVID-19 Marina Silviani; Igen Meyasha; Faisal Akbar
INFOKOM Vol. 17 No. 1 (2024): JURNAL INFOKOM STIKOM POLTEK CIREBON
Publisher : STIKOM POLTEK CIREBON

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Abstract

Strategi melawan pandemi COVID-19 dengan pembatasan sosial memaksa seluruh institusi pendidikan berhenti belajar dan menggantinya dengan pembelajaran daring. Melalui Kementerian Pendidikan dan Kebudayaan Pemerintah telah melarang perguruan tinggi untuk melaksanakan perkuliahan tatap muka (konvensional) dan memerintahkan untuk menyelenggarakan perkuliahan atau pembelajaran secara daring (Surat Edaran Kemendikbud Dikti No. 1 tahun 2020). Tujuan penelitian ini adalah menganalisis pendapat mahasiswa STIKOM Poltek Cirebon tentang pembelajaran daring di masa pandemi COVID-19. Penelitian ini didasarkan pada data survei dari mahasiswa STIKOM Cirebon Poltek dan diproses menggunakan Maximum Enteropy dengan Seleksi Fitur Information Gain. Pengujian dilakukan dengan menguji sebanyak 108 komentar berbahasa Indonesia. Penelitian ini menghasilkan nilai akurasi yaitu sebesar 51% dengan nilai Precision 84%, Recall sebesar 36% dan F-measure 5%.